Business Intelligence

Common Mistakes to Avoid When Hiring a Power BI Developer

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Common Mistakes to Avoid When Hiring a Power BI Developer Businesses depend intensely on information analytics to make informed decisions, and Power BI has risen as a prevalent tool for turning raw data into significant insights. Hiring a Power BI engineer is a crucial choice that can altogether affect your organization’s victory. In any case, companies frequently make a few mistakes when hiring Control BI engineers that can lead to project delays, destitute results, and unnecessary costs. Here are five common mistakes businesses make when hiring Power BI developers and we offer significant tips to avoid them. Common mistakes when hiring  a Power BI Developer Not clearly defining project requirements Is Power BI Embedded free? Power BI Embedded Licensing Guide One of the most common mistakes companies make is starting the contracting process without clearly characterizing their venture requirements. Power BI creators are required to know the scope of the project, what kind of data they’ll be working with, and what insights the business focuses on to gain. Without a clear arrangement, the designer may end up making solutions that don’t adjust to the business’s objectives. Why this is a mistake, and how to solve it Hiring without clear project requirements can lead to miscommunication, delays, and destitute results. The designer might work on highlights or reports that aren’t necessary, wasting time and resources. To solve it, before you start the hiring, prepare, and outline specific project objectives, wanted results, timelines, and deliverables. Create a comprehensive work description that incorporates the abilities, experience, and industry knowledge needed for the part. By doing this, you guarantee that both you and the developer are adjusted from the start, minimizing the risk of miscommunication. Power BI – Data Visualization Microsoft Power Platform Focusing only on technical skills While technical capability in Power BI is essential, centering exclusively on this viewpoint can be a mistake. Information analysis and visualization require more than fair technical skills; the developer needs to have a strong understanding of business operations, information translation, and problem-solving abilities. Why this is a mistake, and how to solve it A technically capable designer may be able to make outwardly appealing reports but might need help to give meaningful insights that help drive business decisions. With analytical aptitudes, they may understand the greater picture that the information is attempting to convey. Power BI – Data Visualization Microsoft Power Platform To solve this, during the interview process, ask candidates to walk through real-world information issues they’ve previously solved. See for engineers who can clarify their thought forms and give cases of how their work has directly affected business choices. Prioritize problem-solving aptitudes near specialized capacities to guarantee you enlist somebody who can offer value past just making dashboards. Ignoring cultural fit and communication skills Power BI developers are required to be associated with different teams inside an organization, including IT, information investigators, and business leaders. If they need communication abilities or do not fit well with your company culture, it can lead to collaboration issues, misunderstandings, and delays. Why this is a mistake, and how to solve it Web Traffic Power BI Dashboard Example phData A developer who can’t viably communicate specialized data to non-technical stakeholders or battles to work in a group environment can negatively affect project advancement. Miscommunication could result in reports that don’t align with the business’s needs or goals. To solve this, during interviews, evaluate the candidate’s communication abilities by asking them to clarify technical concepts in basic terms. Furthermore, evaluate their compatibility with your company’s culture. You can do this by asking situational questions that reflect your work environment and collaboration practices. This ensures the candidate will work well with your group and adjust to the company’s values. Not assessing data security knowledge Data security should be a strong need for any organization handling sensitive data. Power BI designers frequently work with private information, so they must have a strong understanding of information security protocols, privacy controls, and compliance requirements. Why this is a mistake, and how to solve it Failing to prioritize information security data can expose your organization to information breaches, administrative violations, and reputational damage. A creator without security expertise might ignore essential security measures, putting sensitive information at risk. To go about this, when hiring a Power BI developer, inquire about their experience with information security best practices, especially about Power BI. They should be recognizable with encryption strategies, data privacy regulations like GDPR, and role-based access controls. Test their information by inquiring how they would handle different security challenges specific to your business’s data environment. Underestimating the importance of long-term scalability Another common mistake is hiring a Power BI developer who can only handle the quick project needs without considering the future development of the business. Power BI implementations require you to be versatile so that as your company grows, your data foundation and reports can grow with it. Why this is a mistake, and how to solve it Hiring a developer who can manage short-term needs might seem cost-effective initially, but as your business expands, you might face limitations in the versatility of your data reporting solutions. This may lead to the requirement for costly rework or redevelopment later on. To solve this, look for developers who have experience with building adaptable data solutions. Ask around their capacity to handle bigger information sets and implement progressed analytics as your business grows. An engineer who understands long-term business objectives will guarantee that your Power BI arrangements stay relevant and versatile over time. In conclusion, hiring a Power BI developer is an important choice that requires more than just assessing specialized ability. By avoiding the common mistakes of failing to characterize project objectives, focusing solely on technical abilities, neglecting cultural fit, ignoring data security, and underestimating the significance of adaptability, you can guarantee that you hire the right individual for the work. Taking the time to carefully vet candidates for both their specialized and business understanding will help you avoid potential pitfalls and set your …

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54 Predictions About The State Of Data In 2021

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54 Predictions About The State Of Data In 2021 From 2010 to 2020, the amount of data created, captured, copied, and consumed in the world increased from 1.2 trillion gigabytes to 59 trillion gigabytes, an almost 5,000% growth. What will data do in the coming decade? Happy New Year! getty 26                       the five-year compound annual growth rate (CAGR) through 2024 of the data created, captured, copied, and consumed in the world; the amount of data created over the next three years will be more than the data created over the past 30 years [IDC] ⦨ Richard van Dijk ⦩ LinkedIn 22                       the percentage of all full work days that will be supplied from home after the Covid-19 pandemic ends, compared with just 5% before [Becker Friedman Institute] 66                       the percentage of employed Americans that agree that they would prefer a mix of in-office and remote work after the pandemic ends [Harris] 90                       the percentage of HR leaders that plan to allow employees to work remotely at least part of the time, even after the COVID-19 vaccine is widely adopted [Gartner] 300                     the percent increase in remote work compared to pre-Covid-19 levels [Forrester] Gartner® Critical Capabilities for Data and Analytics Service 41                       the percentage of Americans that say they will date more online once the pandemic is over [Harris] 400 million        the number of video visits to doctors worldwide in 2021, 5% of all doctor visits, up from 1% in 2019 [Deloitte] 7                          the number of leading wrist-worn wearables companies that will have released by the end of 2021 algorithms capable of early detection of potential signs of infectious diseases including Covid-19 and the flu [IDC] 100                     the percentage growth of sales for enterprise and educational use of wearable headsets for virtual, augmented and mixed reality in 2021 over 2019 levels [Deloitte] How To Read Gartner’s Magic Quadrants: things you should know 50                       the percentage increase of investments in AI and advanced analytics by life science and healthcare provider companies by 2022 to avoid future supply chain disruptions [IDC] 65                       the percentage of medical imaging workflows that by 2026 will use AI to detect underlying disease and guide clinical intervention, while 50% will use teleradiology to share studies and improve access to radiologists [IDC] 25                      the percentage of CIOs and CTOs that believe AI and machine learning will have the greatest impact on global Covid-19 recovery [IEEE] 5 billion              the number of internet users in 2023, up from 3.9 billion in 2018 [Cisco] Gartner’s Magic Quadrant Power BI 29.3 billion        the number of web-connected devices in 2023, up from 18.4 billion in 2018 [Cisco] 36.8 billion        the number of Industrial IoT connections in 2025, up from 17.7 billion in 2020 [Juniper] 110 mbps          the broadband speed in 2023, up from 45.9 mbps in 2018 [Cisco] 61                       the percentage of telecom providers planning AI projects for edge computing by 2023 [Cisco] $6 trillion           the cost of cyber crime worldwide in 2021, up from $3 trillion in 2015 [Cybersecurityventures.com] “Ransomware in healthcare will increase significantly. This is driven by a combination of high-profile press on ransomware attacks, which further motivates threat actors, and a very diverse IoT infrastructure, which is fully interconnected to IT and often missing the basic security controls required to withstand a ransomware attack,” Galina Antova, Claroty 50                       the percentage of CIOs that will accelerate robotization, automation, and augmentation by 2024 [IDC] 85 million          the number of workers worldwide displaced by automation over the next five years [World Economic Forum] 97 million          the number of jobs worldwide created by the robot revolution over the next five years [World Economic Forum] 65                       the percentage of the world’s GDP set to be digitalized by 2022 [IDC] “In many ways, digitization is simply the next chapter of a process under way for a century: the dematerialization of the economy,” Greg Ip, The Wall Street Journal $6.8 trillion       the total amount allocated to direct digital transformation investments worldwide between 2020 and 2023 [IDC] 25                       the percentage of workers supported by new forms of automation either directly or indirectly by 2022 (e.g., handling employee benefits questions and supporting document, customer service, and line-of-business tasks that are often invisible to the home worker) [Forrester] 75                       the percentage of grocery ecommerce orders that will be picked up curbside or in store by 2023, driving a 35% increase in investment in onsite or nearby micro-fulfillment centers [IDC] 222 million        the number of video streaming users in the U.S. in 2024, up from 170.5 million in 2018 [eMarketer] 45                       the percentage of repetitive work tasks that will be automated and/or augmented by using “digital co-workers,” powered by AI, robotics, and RPA [IDC] 1 trillion             the number of parameters in a new 2021 NLP model, “most likely… from OpenAI and be named GPT-4” [Forbes] 1.4 billion          the number of smart home devices that will be shipped worldwide in 2024, up from 854 million in 2020 [IDC] 637.1 million     the number of wearable devices that will be shipped worldwide in 2024, up from 396 million in 2020 [IDC] 75                       the percentage of enterprises that will use in 2021 new, external data sources to enhance their cross-functional decision-making capabilities in ways that increase value compared with using internal data alone [IDC] 35                       the percentage of large organizations that by 2022 will be either sellers or buyers of data via formal online data marketplaces, up from 25% in 2020 [Gartner] 50                       the percentage of G2000 companies will have active development teams seeking to externally monetize their data to enhance traditional offerings, drive innovation, or deliver Data and Analytics as a Service [IDC] 50                       the percentage of knowledge workers that by 2024 will regularly interact with their own AI-enhanced robot assistant, which will help identify and prioritize tasks, collect information, and automate repetitive work [IDC] 20                       the percentage of all AI solutions that will be closer to artificial general intelligence (AGI) by 2026, leveraging neuro-symbolic techniques that combine deep learning with symbolic methods to create robust humanlike decision making [IDC] 60                       the percentage of enterprises that will invest heavily in digitalizing employee experience in 2021, transforming the relationship between employers and employees [IDC] $110 billion       global spending on artificial intelligence (AI) in 2024, up from $50.1 billion in …

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What is Business Intelligence (BI): Complete Implementation

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Transforming Your Organization with the Power of Business Intelligence Share   Share Understanding Business Intelligence Through Modernizing ETL   Share   Email How to choose the right ETL tool? Bismart Partner Power BI   With the ability to drive strategic initiatives, make educated decisions and extract valuable insights from raw data, business intelligence (BI) has become a key enabler for organizational success. BI has revolutionized the way businesses operate and plan for the future in this age of intense competition and rapid technological advancement. One of the most powerful business intelligence tools available, Intellicus has provided tailored solutions to over 17,000 small and large businesses, enabling them to make data-driven decisions. Understanding Business Intelligence Business Intelligence (BI) is a technology-driven process that analyzes business data to provide actionable information that informs strategic and operational decisions. It involves collecting, storing, analyzing, and visualizing data to uncover patterns, trends, and insights that drive business performance. It combines internal and external data sources into a logical framework that helps produce insights that can be put into action. Business intelligence is a valuable resource that facilitates managers, executives and stakeholders to make informed decisions. What is Business Intelligence (BI): Complete Implementation Business Intelligence (BI) is a technology-driven process that analyzes business data to provide actionable information that informs strategic and operational decisions. It involves collecting, storing, analyzing, and visualizing data to uncover patterns, trends, and insights that drive business performance. Essentially, BI transforms raw data into meaningful information that empowers organizations to make data-driven decisions. The Four Pillars of Business Intelligence Data Collection and Integration: Business Intelligence starts with the compilation of information from various sources, such as social media interactions, market trends, consumer profiles and sales statistics. This data must be integrated into a single platform in order to provide a comprehensive view and analysis. Data Visualization and Analysis: BI tools analyze trends, patterns, and connections using sophisticated analytics. Visualization tools like dashboards, charts, and graphs transform complex data into understandable insights for efficient decision-making. ETL with Power BI Dataflows Predictive Analytics: BI doesn’t merely focus on the present; it anticipates the future. To predict future trends, predictive analytics uses machine learning models and statistical algorithms. This makes it possible for companies to plan ahead and adapt proactively. Actionable Insights: BI aims to generate actionable insights, not just reports. These insights help optimize operations, identify new opportunities, and enhance overall performance. The Transformative Impact of Business Intelligence Improved Decision Making BI tools give businesses access to real-time data, which is essential for making timely, well-informed decisions. This eliminates the need for guesswork and intuition-based decisions in favor of data-driven ones. Additionally, BI tools, like dashboards and visualizations, present data in an understandable format, making it easier for decision-makers to quickly comprehend complex information and react to changes that may have an impact on the business. BI components and how they relate to Power BI Operational Efficiency The operational efficiency of an organization can be greatly improved using business intelligence. By automating repetitive operations, BI solutions allow employees to concentrate on more important facets of the company. Furthermore, by highlighting areas in the business process that require improvement, BI tools enable firms to get rid of bottlenecks, simplify procedures and cut expenses. Customer satisfaction and service delivery are enhanced as a result. Improved Bottom Line Business Intelligence can assist companies in increasing revenue and sales by offering insightful information about consumer behavior. With the use of BI technologies, marketers can better focus their campaigns and boost sales by analyzing customer data to find trends, buying patterns and preferences. Additionally, organizations can use business intelligence to pinpoint successful consumer categories and concentrate their marketing efforts on them. Revenue growth and improved conversion rates are possible outcomes of this focused strategy. Competitive Advantage Business Intelligence provides a competitive edge in today’s data-driven world. Through the utilization of BI tools, companies can acquire comprehensive insights into the tactics, advantages and disadvantages of their rivals and utilize this data to formulate strategic plans. Similarly, it facilitates prompt market adaptation and can assist companies in recognizing customer behavior shifts and market trends. Ethical Considerations in BI The Future of Business Intelligence Advancing technology promises a bright future for BI. AI and machine learning will enhance predictive analytics, enabling businesses to foresee trends and adapt quickly. Integrating BI with emerging technologies like IoT and blockchain will unlock new dimensions of data analysis and decision-making. Conclusion Business Intelligence has evolved from being a mere buzzword to a transformative force shaping the future of businesses. It empowers organizations to navigate complexities, capitalize on opportunities, and drive growth in an increasingly data-centric world. Embracing BI isn’t just an option; it’s a necessity for businesses aspiring to thrive in today’s competitive landscape. repeating the info from intro [SD1] This doesn’t fit right here… please change the placement [SD2] Transforming Your Organization with the Power of Business Intelligence Share   Share   Share   Email   With the ability to drive strategic initiatives, make educated decisions and extract valuable insights from raw data, business intelligence (BI) has become a key enabler for organizational success. BI has revolutionized the way businesses operate and plan for the future in this age of intense competition and rapid technological advancement. One of the most powerful business intelligence tools available, Intellicus has provided tailored solutions to over 17,000 small and large businesses, enabling them to make data-driven decisions. Understanding Business Intelligence Business Intelligence (BI) is a technology-driven process that analyzes business data to provide actionable information that informs strategic and operational decisions. It involves collecting, storing, analyzing, and visualizing data to uncover patterns, trends, and insights that drive business performance. It combines internal and external data sources into a logical framework that helps produce insights that can be put into action. Business intelligence is a valuable resource that facilitates managers, executives and stakeholders to make informed decisions. Business Intelligence (BI) is a technology-driven process that analyzes business data to provide actionable information that informs strategic and operational decisions. It involves collecting, storing, …

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Microsoft Dynamics vs. Salesforce: Comparison 2024

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Microsoft Dynamics vs. Salesforce: Comparison 2024 Salesforce vs. Microsoft Dynamics 365 Overview Salesforce’s Sales Hub and Microsoft Dynamics 365 Sales are similar products that offer most of the CRM features you expect to find in standalone CRM software. We compare these two as the primary CRM offerings from both providers, though other products exist for marketing, customer service and other work management functions. Salesforce is a highly customizable CRM that teams can configure for almost any business need, while Microsoft Dynamics 365 serves as a centralized place for customer data for teams that already use it. Salesforce vs. Microsoft Dynamics 365 Comparison Combine Microsoft and Power BI Microsoft Power BI In our survey, CRM users cited workflow automation, contact activity tracking and task management as the most important CRM features. We used these insights to guide us as we tested Salesforce and Microsoft Dynamics 365. There are some notable differences between the platforms’ contact and sales pipeline management approaches, but they offer similar sales assistants powered by artificial intelligence (AI). Microsoft Dynamics is also commonly known as an enterprise resource planning (ERP) tool. Source: MarketWatch Guides Features Overview Salesforce and Microsoft Dynamics 365 offer very similar feature lists for CRM. However, Salesforce offers more native features for marketing automation. Microsoft Dynamics does not include any email-related features in the Sales product, which puts it at a disadvantage compared to many other CRM platforms. Our Salesforce Review and Microsoft Dynamics 365 Review offer more in-depth analyses of these platforms’ top features. Salesforce Sales CloudMicrosoft Dynamics 365 SalesMonthly Price Range$20-$500/user$65-$135/userContact Management✅✅Workflow Automation✅✅Lead Management✅✅Lead Scoring✅✅Pipeline Management✅✅Sales Forecasting✅✅Email Marketing Automation✅❌Analytics✅✅AI-Powered Tools✅(Einstein)✅(Copilot AI)Phone Support✅✅Live Chat✅✅ Contact Management Power BI – Data Visualization Microsoft Power Platform Microsoft Dynamics 356’s contact profiles are well-organized and easy to navigate, following a similar structure to many popular CRM systems. When we tested the platform, the profiles stood out as one of the more user-friendly features. We could add notes and easily edit contact information without searching through settings. Aside from the contact profiles, Microsoft Dynamics’s approach to the overall contact list is unique. The different Excel-powered charts allowed us to get quick insights into the customer data on the platform. For instance, we could create a drill-down chart of contacts by their city in just a few clicks. While testing the platform, we imagined plenty of use cases for these quick insights and charts. By comparison, Salesforce keeps its analytics separate from the customer profiles, which is the typical setup for customer data within most CRM platforms. The Salesforce customer profiles display contact information alongside upcoming tasks logged in the platform, related opportunities, deals and any quotes a customer has received. These capabilities make it simple for sales teams to refer to any information they need about a customer. View of a sample customer profile in Salesforce. Sales Pipeline Management Power BI – Data Visualization Microsoft Power Platform Microsoft Dynamics’s approach to the sales pipeline is unique compared to other CRM systems we’ve tested. By default, the platform organizes deals in various charts highlighting the sales funnel stages. Most platforms include a list of open deals or, most often, a Kanban-style view of the different deal stages, with movable deal cards sorted into various boards indicating their status. This could be a major plus for teams that don’t love a Kanban board. However, for teams looking for streamlined and straightforward opportunity management, it could overcomplicate how team members view the sales process in the platform. Salesforce’s default configuration for the sales pipeline is a more traditional deal tracking board with the option for a list view. We liked that dragging and dropping the deal cards with automatic deal value calculations at the top of each stage in the pipeline was easy. Sample view of the Salesforce sales pipeline. AI-Powered Features What is Power BI Desktop? – Power BI Microsoft Learn Both Microsoft and Salesforce include AI assistants in their CRM products. Microsoft’s Copilot AI and Salesforce’s Einstein AI are helpful chatbots that users can interact with, similar to ChatGPT. These AI-powered tools also power forecasting, predictive scoring and other advanced features. Microsoft just rolled out Copilot AI last year, and it is helpful for tasks like generating a summary of an open deal; however, it struggled to understand natural language requests. AI tools across the CRM space are very new, and we expect they will learn and improve over time to help streamline CRM strategies. Pricing Microsoft Dynamics 365 and Salesforce offer similar CRM pricing structures, so comparing their pricing is straightforward. Microsoft’s primary sales product has a lower starting price than Salesforce’s Sales Cloud, and Salesforce has a much more comprehensive price range, with the top Einstein 1 Sales plan costing $500 per user per month. Power BI – Data Visualization Microsoft Power Platform However, both platforms offer “starter kits”  at lower prices with various features across the board. In Salesforce’s case, these are the Starter Suite and Pro Suite, which include top features from the Sales, Marketing and Service Clouds. The Microsoft Dynamics Business Central product is similar, with key features from Dynamics 365 Sales and Service, emphasizing core business functions and finance rather than marketing. Salesforce Pricing Our Salesforce Pricing Guide offers a more in-depth look into Salesforce’s pricing structure. ProductPlanPriceSalesforce Sales CloudProfessional $80/user/month Enterprise $165/user/monthUnlimited$330/user/month Einstein 1 Sales$500/user/month Small Business (Combines Sales, Marketing and Service features) Starter Suite$25/user/monthPro Suite$100/user/month Microsoft Dynamics Pricing ProductPlanPriceMicrosoft Dynamics 365 SalesProfessional $65/user/month Enterprise $95/user/monthPremium$135/user/month Microsoft Dynamics 365 Business CentralEssentials$70/monthPremium$100/month Integrations Salesforce is difficult to beat when it comes to native integrations, and it’s easy to search for any specific third-party apps you need to connect with the Appexchange marketplace. The Microsoft Dynamics 365 CRM is excellent as part of a Microsoft ecosystem, but connecting it with outside tools is more complicated.Competitor software like Google tools won’t be available, and we were also surprised to see that Zapier integration was not an option for Dynamics 365 in the Microsoft AppSource marketplace. However, both platforms offer an API for developers. PlatformSalesforce Sales Cloud Microsoft Dynamics 365 SalesGmail✅❌Google Calendar✅❌Mailchimp✅✅Facebook Ads✅✅Zoom✅✅Slack✅✅Sprout Social✅✅Shopify✅✅Stripe✅✅PandaDoc✅✅DocuSign✅✅Five9✅✅Trello✅❌Asana✅❌Zapier✅❌ Customer Support Salesforce and …

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The Four Pillars of Business Intelligence

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Transforming Your Organization with the Power of Business Intelligence Share   Share How to Transform your Business With Power BI – Atidan Technology   Share   Email Microsoft Power BI Data Visualization Business intelligence   With the ability to drive strategic initiatives, make educated decisions and extract valuable insights from raw data, business intelligence (BI) has become a key enabler for organizational success. BI has revolutionized the way businesses operate and plan for the future in this age of intense competition and rapid technological advancement. One of the most powerful business intelligence tools available, Intellicus has provided tailored solutions to over 17,000 small and large businesses, enabling them to make data-driven decisions. Understanding Business Intelligence Business Intelligence (BI) is a technology-driven process that analyzes business data to provide actionable information that informs strategic and operational decisions. It involves collecting, storing, analyzing, and visualizing data to uncover patterns, trends, and insights that drive business performance. It combines internal and external data sources into a logical framework that helps produce insights that can be put into action. Business intelligence is a valuable resource that facilitates managers, executives and stakeholders to make informed decisions. Power BI – Data Visualization Microsoft Power Platform Business Intelligence (BI) is a technology-driven process that analyzes business data to provide actionable information that informs strategic and operational decisions. It involves collecting, storing, analyzing, and visualizing data to uncover patterns, trends, and insights that drive business performance. Essentially, BI transforms raw data into meaningful information that empowers organizations to make data-driven decisions. The Four Pillars of Business Intelligence Data Collection and Integration: Business Intelligence starts with the compilation of information from various sources, such as social media interactions, market trends, consumer profiles and sales statistics. This data must be integrated into a single platform in order to provide a comprehensive view and analysis. Data Visualization and Analysis: BI tools analyze trends, patterns, and connections using sophisticated analytics. Visualization tools like dashboards, charts, and graphs transform complex data into understandable insights for efficient decision-making. Power BI – Data Visualization Microsoft Power Platform Predictive Analytics: BI doesn’t merely focus on the present; it anticipates the future. To predict future trends, predictive analytics uses machine learning models and statistical algorithms. This makes it possible for companies to plan ahead and adapt proactively. Actionable Insights: BI aims to generate actionable insights, not just reports. These insights help optimize operations, identify new opportunities, and enhance overall performance. The Transformative Impact of Business Intelligence Improved Decision Making BI tools give businesses access to real-time data, which is essential for making timely, well-informed decisions. This eliminates the need for guesswork and intuition-based decisions in favor of data-driven ones. Additionally, BI tools, like dashboards and visualizations, present data in an understandable format, making it easier for decision-makers to quickly comprehend complex information and react to changes that may have an impact on the business. Power BI – Data Visualization Microsoft Power Platform Operational Efficiency The operational efficiency of an organization can be greatly improved using business intelligence. By automating repetitive operations, BI solutions allow employees to concentrate on more important facets of the company. Furthermore, by highlighting areas in the business process that require improvement, BI tools enable firms to get rid of bottlenecks, simplify procedures and cut expenses. Customer satisfaction and service delivery are enhanced as a result. Improved Bottom Line Business Intelligence can assist companies in increasing revenue and sales by offering insightful information about consumer behavior. With the use of BI technologies, marketers can better focus their campaigns and boost sales by analyzing customer data to find trends, buying patterns and preferences. Additionally, organizations can use business intelligence to pinpoint successful consumer categories and concentrate their marketing efforts on them. Revenue growth and improved conversion rates are possible outcomes of this focused strategy. Competitive Advantage Business Intelligence provides a competitive edge in today’s data-driven world. Through the utilization of BI tools, companies can acquire comprehensive insights into the tactics, advantages and disadvantages of their rivals and utilize this data to formulate strategic plans. Similarly, it facilitates prompt market adaptation and can assist companies in recognizing customer behavior shifts and market trends. Ethical Considerations in BI The Future of Business Intelligence Advancing technology promises a bright future for BI. AI and machine learning will enhance predictive analytics, enabling businesses to foresee trends and adapt quickly. Integrating BI with emerging technologies like IoT and blockchain will unlock new dimensions of data analysis and decision-making. Conclusion Business Intelligence has evolved from being a mere buzzword to a transformative force shaping the future of businesses. It empowers organizations to navigate complexities, capitalize on opportunities, and drive growth in an increasingly data-centric world. Embracing BI isn’t just an option; it’s a necessity for businesses aspiring to thrive in today’s competitive landscape. repeating the info from intro [SD1] This doesn’t fit right here… please change the placement [SD2] Transforming Your Organization with the Power of Business Intelligence Share   Share   Share   Email   With the ability to drive strategic initiatives, make educated decisions and extract valuable insights from raw data, business intelligence (BI) has become a key enabler for organizational success. BI has revolutionized the way businesses operate and plan for the future in this age of intense competition and rapid technological advancement. One of the most powerful business intelligence tools available, Intellicus has provided tailored solutions to over 17,000 small and large businesses, enabling them to make data-driven decisions. Understanding Business Intelligence Business Intelligence (BI) is a technology-driven process that analyzes business data to provide actionable information that informs strategic and operational decisions. It involves collecting, storing, analyzing, and visualizing data to uncover patterns, trends, and insights that drive business performance. It combines internal and external data sources into a logical framework that helps produce insights that can be put into action. Business intelligence is a valuable resource that facilitates managers, executives and stakeholders to make informed decisions. Business Intelligence (BI) is a technology-driven process that analyzes business data to provide actionable information that informs strategic and operational decisions. …

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Talent Intelligence: Unlocking The Power Of Multidimensional Data

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Talent Intelligence: Unlocking The Power Of Multidimensional Data Joanna Riley, CEO & cofounder of Censia. Striving for a more just and efficient global economy through better talent data and technology. getty In the age of data-driven decision-making, the significance of structured, multidimensional data cannot be overstated. This data type forms the backbone of advanced AI systems, facilitating nuanced insights and predictive analytics essential for modern business strategies, including talent management. What Is Business Intelligence (BI)? Types, Benefits, and Examples Data-Driven Recruiting And Talent Management Companies that harness data in talent management have seen remarkable improvements in both efficiency and insights into workforce dynamics. For instance, incorporating data-driven strategies in recruiting has been shown to significantly enhance the quality of the workforce, increase productivity, and support unbiased hiring decisions. Workable’s comprehensive guide on data-driven recruiting emphasizes the importance of choosing the right data and metrics, collecting data efficiently, and acting on this data to improve hiring processes. The Rise Of Multidimensional Data in HR Multidimensional data isn’t a new concept. Most business intelligence (finance, consumer behavior, etc.) relies on structured data across multiple dimensions to gain profound insight and determine future strategy. HR has always been the big exception because HR has traditionally been one-dimensional (a linear resume of qualifications matched to a linear list of job requirements), often inaccurate or messy (outdated profiles, multiple job titles meaning similar things, etc.), and limited only the candidate and the role—not, for instance, other important factors such as the industry or the organization. Updated: Difference Between Business Intelligence and Data Science By cleaning and structuring this talent data and introducing new layers of information (company size, revenue levels, company events, industry and more), the insight that AI can derive from this data grows immensely. The deployment of structured, multidimensional data in talent management allows organizations to gain a deep and holistic understanding of their workforce, encompassing diverse dimensions such as people, jobs, skills, and industries. This comprehensive dataset supports AI-driven solutions, enabling organizations to navigate complexities with precision and agility. MyHRfuture highlights how data-driven HR impacts recruitment and talent management by measuring key talent acquisition data points for greater impact, supporting workforce planning, and facilitating training and development. Inferring Skills And Bridging Gaps The capacity of structured data to infer skills is invaluable in talent acquisition and workforce planning, where accurate skill assessment is crucial. Analyzing patterns and contextual information allows AI-powered systems to uncover latent skills, providing a broader understanding of individuals’ capabilities. ways you’re failing at business intelligence CIO Transformative Impact Of AI In Talent Management The convergence of structured data and AI heralds a new era in talent management, with organizations increasingly turning to AI-driven solutions to streamline processes and decision-making. Korn Ferry’s insights into the telecom sector, for example, reveal the critical role of strategy and talent in organizational success, emphasizing the importance of learning agility as a predictor of long-term leadership potential. To further underscore the transformative power of data in talent management, it’s essential to recognize the nuanced ways in which organizations leverage this data to foster a culture of continuous learning and adaptability. A data-driven approach streamlines recruitment and talent development and underpins strategic workforce planning and development initiatives. According to research by Deloitte, integrating data analytics into HR practices enables organizations to forecast talent needs, identify skill gaps, and optimize resource allocation more effectively. This strategic alignment ensures that talent management efforts are about filling positions and building a resilient, skilled workforce capable of driving long-term business growth. Moreover, adopting AI and data analytics in talent management extends beyond operational efficiency to enhancing the employee experience. Organizations can address individual career aspirations and skill development needs by personalizing learning and development opportunities, thereby increasing engagement and retention. This personalized approach, grounded in data, signifies a shift from traditional, one-size-fits-all HR practices to more dynamic, responsive strategies that value and cultivate individual talent. In this rapidly evolving landscape, harnessing and interpreting multidimensional data becomes a critical competitive advantage, enabling organizations to navigate the complexities of the modern workforce with agility and insight. Common Pitfalls When Adopting Talent Intelligence Several common pitfalls occur when organizations adopt this type of technology. The first is that system implementations are prone to failure. According to a Deloitte study, 70% of digital transformation efforts are considered less than successful, and organizations require three years to start competing in digital markets. Working with APIs or native integrations to upgrade current systems is one way to avoid the financial, time and engagement loss caused by this. The other big pitfall is not understanding the data well enough. It is essential to ask how the data is collected, cleaned and structured. If a provider runs new algorithms on old data or limited source data, you’ll get biased and unreliable results. And finally, you’ll want to understand the legal restrictions you might face in your field. Several regions have already restricted the use of AI in HR decision-making, so you’ll want to make sure that you deploy it in a way that assists, not replaces, your team and their decisions. Embracing A Data-Driven Future As organizations undergo digital transformation, the importance of leveraging structured, multidimensional data and AI will continue to grow. McKinsey’s guide on building a data-driven strategy highlights the need for an integrated approach to data sourcing, model building, and organizational transformation tailored to the company’s desired business impact. In conclusion, structured, multidimensional data is the cornerstone of AI-driven talent management, enabling organizations to unlock insights, optimize processes, and drive strategic outcomes. By leveraging advanced analytics and AI technologies, organizations can chart a course toward a data-driven future where talent becomes a true differentiator in driving business success. Forbes Technology Council is an invitation-only community for world-class CIOs, CTOs and technology executives. Do I qualify? Transforming Your Organization with the Power of Business Intelligence Share   Share   Share   Email   With the ability to drive strategic initiatives, make educated decisions and extract valuable insights from raw data, business intelligence (BI) has …

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Pentaho Adaptive Big Data LayerPentaho Business Analytics

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Pentaho furthers innovation in Big Data integration and launches Pentaho Labs Delivering the future of analytics, Pentaho Corporation today introduced a new adaptive big data layer in its platform that accelerates access and integration to the latest versions and capabilities of popular big data stores. It also announced a “think tank” called Pentaho Labs for innovating breakthrough big data-driven technologies in areas such as predictive and real-time analytics. The Pentaho adaptive big data layer supports Hadoop distributions from Cloudera, Hortonworks, MapR and Intel, as well as popular NoSQL databases Cassandra and MongoDB, and introduces support for Splunk. With Pentaho, data can be accessed once then processed, combined and consumed anywhere. These new Pentaho big data innovations bring greater flexibility, insulation from change and increased competitive advantage to companies facing the relentless evolution of the big data ecosystem. According to Richard Daley, founder and chief strategy officer at Pentaho, “The relatively breakneck speed at which big data analytics technology evolves as compared to the relational world is paralyzing many companies. The innovations we’re announcing today overcome this paralysis and allow companies to keep their big data technology options open, reduce risk and save considerable development time while taking advantage of the latest innovations in popular Big Data stores.” PivotJ – PivotJ – Pentaho BI Plugin Pentaho Adaptive Big Data LayerPentaho Business Analytics can literally plug into leading edge big data technologies with an advanced adaptive big data layer that supports the latest versions of Hadoop distributions, NoSQL databases and specialized big data stores. New capabilities include:• Hadoop distributions: Pentaho’s new adaptive big data layer supports the following Hadoop distributions: Cloudera CDH 4.1.2, 4.1.3, 4.2.0, 4.2.1; Intel’s IDH 2.3; Horton’s HDP 1.2.x and MapR 2.0.x and 2.1.x.• NoSQL databases: Pentaho also delivers support for the latest features in MongoDB and Cassandra.• Splunk: Machine data is one of the fastest growing and most pervasive segments of big data. Pentaho’s new Splunk adapter allows reading and writing data to Splunk. New Pentaho LabsPentaho Labs, led by Richard Daley, is staffed with top industry experts and a renowned data scientist to incubate breakthrough advanced analytic capabilities driven by big data. Pentaho Labs encourages seeding of new approaches and technologies that can over time be merged into the Pentaho roadmap based on market demand. According to Krishna Roy, BI and Analytics Analyst at 451 Research, “We are talking to many companies who are very interested in big data analytics, but lack the knowledge, skills and resources to keep up with the rapid pace of change in the ecosystem or even get started. Pentaho recognizes this and today’s announcements help lower the barriers to entry and accelerate innovation. Cybersecurity Industry Leaders Launch the Cyber Threat Intelligence Capability Maturity Model PRESS RELEASE WILMINGTON, Del.–(BUSINESS WIRE) — Today, Intel 471, the premier provider of cyber intelligence-driven solutions worldwide, sponsored a partnership of 28 industry leaders serving public and private organizations across the vendor and consumer community. Together, these professionals volunteered their time, effort, and experience to launch the first version of the Cyber Threat Intelligence Capability Maturity Model (CTI-CMM), designed as the first-of-its kind vendor agnostic and universally applicable resource to support organizations of all shapes and sizes across the CTI industry. In today’s evolving threat landscape, the sign of a successful Cyber Threat Intelligence (CTI) program is a mature program that seamlessly integrates with an organization’s core objectives and key outcomes. “Unlocking the full potential of your CTI program requires alignment with the capabilities of each stakeholder it supports, and a tangible measurement of success synchronized with organizational priorities,” said Michael DeBolt, Chief Intelligence Officer at Intel 471. “The CTI Capability Maturity Model (CTI-CMM) is designed to support CTI teams in building their capabilities by aligning to defined practices for stakeholder business domains unique to each organization. The Model establishes shared values and principles across the industry to empower organizations to take a holistic approach to cyber threat intelligence with stakeholders in mind.” “Advising numerous clients globally, I have observed a consistent need for an outcome-focused model for cyber intelligence programs. The CTI-CMM bridges the gap to help CTI programs create impactful and demonstrable value for their organization,” said Colin Connor, CTI Services Manager at IBM X-Force. The all-volunteer team behind the CTI-CMM is comprised of professionals representing a wide range of sectors, geographic regions, backgrounds and experiences, including leaders from Intel 471, IBM, Kroger, Venation, Mandiant, IntL8, Regfast, Trellix, Autodesk, Centre for Cybersecurity Belgium (CCB), Northwave Cyber Security, Workday, Marsh McLennan, Signify, Tidal Cyber, DeepSeas, BP, Gojek, SAND and many more. These individuals created CTI-CMM to elevate cyber threat intelligence across the industry through knowledge and experiences. Together, they defined the following values and principles to support the CTI community moving forward: Shared Values Intelligence provides value through collaboration with our stakeholders and supporting their decision-making process. Intelligence is never completed. Improvement is continuous. This also applies to adoption. Constant improvement is crucial for success and distinguishing from other models which failed to keep up with the time. Intelligence is not proprietary, nor is it prescriptive. Therefore, the model should never be claimed by a single commercial party. Shared Principles Contextualizing threat intelligence within risk Continuous self-assessment and improvement Actionable intelligence based on stakeholder needs Quantitative and qualitative measurement of intelligence Collaborative and iterative intelligence processes This team made the decision to design the CTI-CMM to align with industry best practices and the concepts and format of a recognized cybersecurity maturity model, the Cybersecurity Capability Maturity Model (C2M2). Similar to the C2M2, the CTI-CMM is organized into ten domains. Each domain includes a “Domain Purpose” followed by a “CTI Mission” description describing how the CTI function supports it and consists of the CTI Use Cases and CTI Data Sources. The CTI-CMM is the blueprint for a successful and effective CTI program. It exists to support the people who make decisions and take action to protect organizations. For more information, please visit: https://cti-cmm.org/ About Intel 471 Intel 471 empowers enterprises, government agencies, and other organizations to win the cybersecurity war using the real-time insights …

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Microsoft’s cloud business powers 10% growth in quarterly profits

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Microsoft’s cloud business powers 10% growth in quarterly profits AP REDMOND, Wash. (AP) — Microsoft reported a 10% increase in quarterly profits Tuesday as it tries to maintain its position as a leader in artificial intelligence technology. The software giant said its fiscal fourth-quarter profit was $22 billion, or $2.95 per share, slightly beating analyst expectations for $2.94 per share. reasons to use Microsoft Power BI Stitch It posted revenue of $64.7 billion in the April-June period, up 15% from last year. Analysts polled by FactSet Research had been looking for revenue of $64.4 billion. Microsoft’s growth was led by its cloud computing business, where quarterly revenue rose 19% to $28.5 billion. That was still lower than what some analysts expected, leading to the stock shedding about 5% in after-hours trading Tuesday. The Redmond, Washington-based company doesn’t report revenue specifically from AI products but says it has infused the technology into all of its business segments, particularly its Azure cloud computing contracts, but increasingly its workplace software and other products. Much of its generative AI technology has been built as part of its multibillion-dollar investments in OpenAI, maker of ChatGPT. People are also reading… Power BI – Data Visualization Microsoft Power Platform Revenue from Microsoft’s productivity services – such as its Office line of products – rose 11% to $20.3 billion. Microsoft’s personal computing business, centered on licensing its Windows operating system, made $15.9 billion for the quarter, up 14% from last year. Copyright 2024 The Associated Press. All rights reserved. This material may not be published, broadcast, rewritten or redistributed without permission. ‘); var s = document.createElement(‘script’); s.setAttribute(‘src’, ‘https://assets.revcontent.com/master/delivery.js’); document.body.appendChild(s); window.removeEventListener(‘scroll’, throttledRevContent); __tnt.log(‘Load Rev Content’); } } }, 100); window.addEventListener(‘scroll’, throttledRevContent); } Get local news delivered to your inbox! What is Power BI Desktop? – Power BI Microsoft Learn Business Intelligence and Analytics Fusion Introduces New AI-Powered Scenario Simulation and Intelligence Suite Fusion Risk Management (Fusion), a provider of cloud-based operational resilience, business continuity, and risk management solutions, is releasing its new Scenario Simulation and Intelligence suite—enabling companies to simulate thousands of possible scenarios against their resilience plans and strategies to identify points of weakness at scale. Posted August 14, 2024 Ridge Security Enhances Proactive Exposure Management with RidgeBot 4.3.3 Ridge Security Technology Inc. is releasing RidgeBot version 4.3.3, introducing a powerful integration that enhances proactive exposure management for organizations—combining RidgeBot’s automated vulnerability detection and validation capabilities with leading vulnerability management (VM) solutions. Posted August 14, 2024 DBTA Readers’ Choice Award Winners (2024) With the recent AI boom, data is being created and generated at unprecedented rates. Per the latest estimates, 402.74 million terabytes of data are created each day. This increase calls for a paradigm shift in company efficiency—quickly enabling enterprises to uncover quality insights and effective organization of this data. To help organizations progress along their data-driven journeys, each year, DBTA presents the Readers’ Choice Awards, which provide the opportunity to recognize companies whose products have been selected by the experts—our readers! Posted August 13, 2024 Rubrik and Mandiant Collaborate to Drive Robust Threat Recovery and Response Rubrik, Inc., the Zero Trust Data Security Company, is unveiling a new partnership with Mandiant, a cyber defense provider which is now part of Google Cloud. This collaboration—which is shaped by three key pillars—serves to help enterprises quickly control their risk against diverse, rampant threats. Posted August 13, 2024 Cribl Partners with 4 Key Players in the Security Space Cribl, the data engine for IT and security, announced four key partnerships with Vijilan, Anvilogic, Securonix, and Anomali, to address growing enterprise IT and security data management challenges. Cribl Stream and Edge products are now integrated with Anvilogic’s innovative security information and event management (SIEM) platform, providing security operations centers (SOC) with best-in-class flexibility, cost efficiency, and control over their security data, according to the vendors. Posted August 12, 2024 Global Edge Data Center Market Predicted to Cross $300B By 2026 Analysis by global real estate consulting firm JLL predicts edge IT infrastructure and data centers will become a $317 billion market globally by 2026, representing a 107% growth from the 2020 market valued at $153 billion. Globally, the growth of edge computing will be influenced by not only the emergence of several technology-based megatrends but also the need for faster data transfer and high computation, as well as factors such as policies and regulations. Posted August 12, 2024 IBM Provides Generative AI-Powered Cybersecurity Assistant IBM is adding generative AI capabilities to its managed Threat Detection and Response Services utilized by IBM Consulting analysts to advance and streamline security operations for clients. Built on IBM’s watsonx data and AI platform, the new IBM Consulting Cybersecurity Assistant is designed to accelerate and improve the identification, investigation, and response to critical security threats, according to the company. Posted August 12, 2024 Upgrading the DBMS: Poking a House of Cards Regular readers of this column are aware that I am a proponent of getting rid of bad database standards. But sometimes it can be difficult to determine if a particular standard is bad, or just a lot of trouble to comply with! Well, what am I getting at here? Have you ever been thwarted by a global fiat from management? Of course you have, we all have. But I’m talking about a particular type of dictum from above. Something like this: “New software installations, including updated versions and releases, must be supported by current tooling before they can be installed.” Posted August 12, 2024 Advanced Info Service Selects Oracle Alloy to Build Thailand’s Locally Owned and Operated Hyperscale Cloud Advanced Info Service (AIS), one of Thailand’s largest mobile network operators, announced plans to deploy Oracle Alloy and launch AIS Cloud, the country’s first locally owned and operated hyperscale cloud. Oracle Alloy will provide AIS’ customers and all enterprises in Thailand, including the public sector, access to more than 100 Oracle Cloud Infrastructure (OCI) services, including the latest artificial intelligence (AI) capabilities. Posted August 12, 2024 Supply Wisdom and Fusion Collaborate to Enhance Third-Party Risk …

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Willdan Benefits from AI Lapping Up Electricity

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Willdan Benefits from AI Lapping Up Electricity The intelligence may be artificial, but the growing electricity needs are very real. Just ask Willdan Group, Anaheim’s most valuable publicly traded company. The environmental engineering services firm on Aug. 1 reported second-quarter results that surpassed analysts’ estimates, boosting the share price by 12%. “The electric load growth macrotrend strengthened over the quarter, fueled by growth in electricity demand at data centers from artificial intelligence,” Chief Executive Mike Bieber said in a statement announcing the results. Business Intelligence Roadmap PowerPoint Template Nulivo Market The increased demand for AI has benefited companies with local ties like Broadcom, whose co-founder Henry Samueli is now the second richest man in Orange County (see the July 29 issue for more details). 160% Increase While AI’s electric thirst may come as a surprise to some, experts have had their eyes on it for a long time. “On average, a ChatGPT query needs nearly 10 times as much electricity to process as a Google search. In that difference lies a coming sea change in how the U.S., Europe and the world at large will consume power —and how much that will cost,” Goldman Sachs said in a report in May. Business Intelligence PowerPoint Template PPT Templates The financial giant added: “Now, as the pace of efficiency gains in electricity use slows and the AI revolution gathers steam, Goldman Sachs Research estimates that data center power demand will grow 160% by 2030.” CNBC reported in late July that “concerns are mounting about whether the U.S. can generate enough electricity for the widespread adoption of AI, and whether our aging grid will be able to handle the load.” As the demand grows, Willdan’s goal is to help companies, utilities and government agencies control their electricity use, including “efficiency and sustainability.” For example, Willdan said in July it had reduced the energy used annually at a large data center in the Pacific Northwest by more than 4.1 million kilowatt hours. Business Intelligence PowerPoint Template and Google Slides For perspective, the average American home buys about 899 kilowatt hours of energy per month, according to the U.S. Energy Information Administration. Energy Efficiency “Artificial intelligence and other new technologies have the potential to significantly increase energy consumed by data centers,” CEO Bieber said last month. “By using energy efficiency strategies, data center owners can reduce cooling loads and increase reliability.”Recent contract wins for Willdan include Meta (Facebook) to study emissions related to voluntary clean energy procurement; the State of Virginia to perform analysis on grid impact from increased energy demand and the City of Paramount for solar, storage and EV charging infrastructure. Willdan Group’s shares have gained more than 80% in the past year, as companies increasingly seek ways to hold down energy costs. The shares were trading at $36.42 apiece as of Aug. 7, for a market cap of $509.6 million. The company has boosted its annual forecast to a profit of $2 to $2.10 a share on sales of $280 million to $290 million. Analysts had expected $1.85 a share in sales of $280.1 million. Best free presentation software of 2024 The best free presentation software makes it simple and easy to create professional presentations without a Microsoft subscription. While PowerPoint is the market leader when it comes to presentation software, some people may be unwilling to subscribe to a Microsoft 365 subscription, especially if they don’t expect to need to use it very often. However, there are plenty of great alternatives to PowerPoint available for free that you can use. While these won’t have the same advanced features as PowerPoint, they still offer a very competent platform to design most any presentation that you need. To help you choose, we’ve listed below the best free presentation software currently available. Add images to your presentations using the best free photo editor. Why you can trust TechRadar We spend hours testing every product or service we review, so you can be sure you’re buying the best. Find out more about how we test. Best free presentation software overall (Image credit: Prezi) Make stylish presentations online, for free Reasons to buy+ Animated presentations + Easy to use + Allows collaborative editing Reasons to avoid- Some trial and error required Prezi turns the traditional approach to presentations on its head. Instead of creating slide after slide, this presentation software gives you a single giant canvas. You can add blocks of text or images, or even create miniature slides. During your presentation, you can seamlessly fly around the canvas and zoom in to look at individual chunks of content. For how complex Prezi seems, it’s impressively simple to use the platform. The only major divergence from Microsoft PowerPoint is that you need to add animated paths from one part of the canvas to another. The tools for this are fairly straightforward, especially if you’ve ever used an animation or video editing software. Of course, this type of presentation structure isn’t always ideal. Prezi makes it hard to visualize structured data like financials, which can make it difficult to use in business applications. Some viewers also might not appreciate the fly-around animation style that’s inherent to the presentation software. Read our full Prezi review. Best free presentation software for functionality (Image credit: LibreOffice) Free presentation software that’s a dead ringer for PowerPoint Reasons to buy+ Most of Powerpoint’s functionality + Works with Keynote for Mac + Hundreds of free templates Reasons to avoid- No built-in collaboration tools LibreOffice is a free alternative to Microsoft Office, and it includes a Powerpoint equivalent called Impress with nearly all of the same functionality. The only big difference you’ll find between the two slideshow creation tools is the LibreOffice lacks some modern features like built-in collaboration and integration with Microsoft OneDrive. However, Impress does have a few advantages of its own. The software can import files from Keynote, the default presentation software on Mac computers. Plus, there are hundreds of free templates that you can download for free. Even better, there’s no limit on …

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Business Intelligence in ERP (The Role of BI Tools in ERP)

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De-siloing the enterprise: The challenges and opportunities in data consolidation A hot topic in the data management space is the argument against data silos. Factors such as generative artificial intelligence and decentralized data infrastructures have intensified the need to embrace the data consolidation ethos. RelationalAI’s Molham Aref discusses modern data platforms. What is the imperative to de-silo data operations? And what challenges and opportunities exist as companies move toward interconnected data infrastructures? “You’re building intelligent applications, and by definition, these applications have to look at data,” said Molham Aref (pictured), chief executive officer of RelationalAI Inc. “The old architecture is where you’re moving a few records of data over to some Java to do something, to book you an airline seat, that doesn’t work anymore. You’re now doing things that require you to predict and you need to look at lots of data. And so, the new architectures will move the semantics and the business logic to the data. And my view is that business logic is going to have to change to fit in the modern data stack.” Business Intelligence in Custom ERP Development Altamira Aref spoke with theCUBE Research’s Dave Vellante and George Gilber at the Supercloud 7: Get Ready for the Next Data Platform event, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed the future of data consolidation as one that integrates and harmonizes data with business logic, creating a seamless and intelligent ecosystem. Data consolidation: Key players and battles The last decade has seen significant developments in the data stack. Snowflake Inc. emerged as a dominant force in the database engine space, while Databricks Inc. took the lead in managing data pipelines. The field of data formats is another competition frontier, one that has seen the emergence of Iceberg as a dominant player, according to Aref. “I think the next layer is about semantics,” he said. “Where do you put application logic and semantics in this new world? And where do you put it in a world where people are asking to rethink applications in terms of intelligent applications?” Business Intelligence in ERP (The Role of BI Tools in ERP) One inalienable theme in the various contests across the data stack is openness. The next frontier is the catalog wars, where the aim is to unbundle catalogs from the respective technologies, allowing for greater flexibility and interoperability. This unbundling is a critical step toward the next layer of evolution: semantics. “Let’s say, I have information about people in my database,” Aref said. “And let’s say there’s an entry for Dave, an entry for George, an entry for Molham. I might want to compute our ages from our birthdays. Now, I can just add an extra column and key in our ages, but that’s not good, because as time passes, I’ll have to keep updating our ages as we all get older. Instead of just storing the raw data, I might put in a bit of business logic that says, ‘A person’s age is equal to today minus their date of birth.’ And anytime someone needs to look up any of our ages, okay, I will just apply the semantics, the business logic.” In traditional systems, application logic was often written in languages such as Java or COBOL, detached from the data itself. The modern approach expresses business logic relationally, ensuring it coexists seamlessly with the data. This transition to data consolidation is essential for applications that are capable of making predictions and optimizations based on vast amounts of data, according to Aref. The legacy challenge and path forward How Business Intelligence in ERP Can Improve Your Company Go The current state of enterprise data management is a patchwork of thousands of applications, each with its data model and logic. This fragmented architecture is a product of technological constraints and business needs from decades past. However, with advancements in scalability, algorithms and data structures, there is an opportunity to revisit and overhaul these systems, according to Aref. “Because the relational databases at the time were not powerful enough and scalable enough and their pricing models were such that they were too expensive to run the business logic, as a workaround, we pulled that logic out, we implemented by hand procedurally, because we didn’t have the relational language that could express it declaratively,” he said. “We had to live with this two-brain architecture, where the database had no idea what the application logic was doing. And the application logic didn’t understand databases.” The goal is to move toward a common model where data and business logic are integrated into a unified framework. This approach simplifies the architecture, reduces redundancy and facilitates better decision-making. Subsequently, a gradual refactoring of legacy applications will occur, bringing forth a modern, data-centric framework, without the need for a disruptive big bang rewrite, Aref added. Stay tuned for the complete video interview, part of SiliconANGLE’s and theCUBE Research’s coverage of the Supercloud 7: Get Ready for the Next Data Platform event. How Business Intelligence in ERP Can Improve Your Company Go Photo: SiliconANGLE Your vote of support is important to us and it helps us keep the content FREE. One click below supports our mission to provide free, deep, and relevant content.   Join our community on YouTube Join the community that includes more than 15,000 #CubeAlumni experts, including Amazon.com CEO Andy Jassy, Dell Technologies founder and CEO Michael Dell, Intel CEO Pat Gelsinger, and many more luminaries and experts. “TheCUBE is an important partner to the industry. You guys really are a part of our events and we really appreciate you coming and I know people appreciate the content you create as well” – Andy Jassy THANK YOU De-siloing the enterprise: The challenges and opportunities in data consolidation A hot topic in the data management space is the argument against data silos. Factors such as generative artificial intelligence and decentralized data infrastructures have intensified the need to embrace the data consolidation ethos. RelationalAI’s Molham Aref discusses modern data platforms. What is the imperative to de-silo data …

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What is The Role of CRM in Gaining Business Intelligence?

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CRM is dead — and AI can’t come to the rescue fast enough For quite some time, “best practice” has been to make connecting with actual live human beings as inconvenient as possible, encouraging otherwise recalcitrant customers to find online solutions to their problems. This isn’t even necessarily a bad idea. In many cases, once customers figure out how to use a DIY system they end up preferring it — a convenience win for the customer and a financial win for the vendor. But there’s a wide gorge separating “inconvenient” from “impossible” (yes, I know, gorges are narrow by definition, but I didn’t like “canyon” or “channel” for the metaphor; also, my gorge was rising). Where was I? Oh, yeah: It appears that in the lofty towers in which business decision-makers reside, making the customer experience dehumanizing isn’t good enough anymore. A fully de-humaned business appears to be the only satisfactory end-point. What is The Role of CRM in Gaining Business Intelligence? Remote Job Jargon—What CRM, KPIs, And 20 Other Acronyms Mean In 2024 Aug 14, 2024,03:30pm EDT Trump And Harris Both Support ‘Tax-Free’ Tips—Here Are The Pros And Cons Of Eliminating Taxes On Tips”,”scope”:{“topStory”:{“index”:1,”title”:”Trump And Harris Both Support ‘Tax-Free’ Tips—Here Are The Pros And Cons Of Eliminating Taxes On Tips”,”image”:”https://specials-images.forbesimg.com/imageserve/66bd04c32c4e2274e932c35d/290×0.jpg”,”isHappeningNowArticle”:false,”date”:{“monthDayYear”:”Aug 14, 2024″,”hourMinute”:”03:30″,”amPm”:”pm”,”isEDT”:true,”unformattedDate”:1723663849329},”uri”:”https://www.forbes.com/sites/jackkelly/2024/08/14/trump-and-harris-both-support-tax-free-tips-here-are-the-pros-and-cons-of-eliminating-taxes-on-tips/”}},”id”:”a56qbrphj9dk00″},{“textContent”:” Aug 14, 2024,12:00pm EDT business intelligence cycle – WaysUp 10 Fully Remote Jobs Hiring That Pay Up To $245,000 In 2024″,”scope”:{“topStory”:{“index”:2,”title”:”10 Fully Remote Jobs Hiring That Pay Up To $245,000 In 2024″,”image”:”https://specials-images.forbesimg.com/imageserve/66bc9b003cfeaa3af6edd67d/290×0.jpg”,”isHappeningNowArticle”:false,”date”:{“monthDayYear”:”Aug 14, 2024″,”hourMinute”:”12:00″,”amPm”:”pm”,”isEDT”:true,”unformattedDate”:1723651211000},”uri”:”https://www.forbes.com/sites/rachelwells/2024/08/14/10-fully-remote-jobs-hiring-that-pay-up-to-245000-in-2024/”}},”id”:”drkq35mgklmo00″},{“textContent”:” Aug 14, 2024,12:00pm EDT Give Email – and Yourself – a Rest”,”scope”:{“topStory”:{“index”:3,”title”:”Give Email – and Yourself – a Rest”,”image”:”https://specials-images.forbesimg.com/imageserve/66bbc6e41741a78b55126449/290×0.jpg”,”isHappeningNowArticle”:false,”date”:{“monthDayYear”:”Aug 14, 2024″,”hourMinute”:”12:00″,”amPm”:”pm”,”isEDT”:true,”unformattedDate”:1723651200000},”uri”:”https://www.forbes.com/sites/harmoncullinan/2024/08/14/give-email–and-yourself–a-rest/”}},”id”:”d84fggfal8h400″},{“textContent”:” Aug 14, 2024,11:57am EDT Integrating your CRM and Business Intelligence to Maximize Results Didn’t Feel A Connection With The Interviewer? Here’s What To Do”,”scope”:{“topStory”:{“index”:4,”title”:”Didn’t Feel A Connection With The Interviewer? Here’s What To Do”,”image”:”https://specials-images.forbesimg.com/imageserve/65661b7c301af01a1c639fa2/290×0.jpg”,”isHappeningNowArticle”:false,”date”:{“monthDayYear”:”Aug 14, 2024″,”hourMinute”:”11:57″,”amPm”:”am”,”isEDT”:true,”unformattedDate”:1723651060308},”uri”:”https://www.forbes.com/sites/carolinecenizalevine/2024/08/14/didnt-feel-a-connection-with-the-interviewer/”}},”id”:”22qnj8165keo00″},{“textContent”:” Aug 14, 2024,11:00am EDT 5 Green Flags You Should Look Out For In Your Job Search”,”scope”:{“topStory”:{“index”:5,”title”:”5 Green Flags You Should Look Out For In Your Job Search”,”image”:”https://specials-images.forbesimg.com/imageserve/66bb48b210c1c0e7cb7e9099/290×0.jpg”,”isHappeningNowArticle”:false,”date”:{“monthDayYear”:”Aug 14, 2024″,”hourMinute”:”11:00″,”amPm”:”am”,”isEDT”:true,”unformattedDate”:1723647600000},”uri”:”https://www.forbes.com/sites/shodewan/2024/08/14/5-green-flags-you-should-look-out-for-in-your-job-search/”}},”id”:”22a5p9hbqani00″},{“textContent”:” Aug 14, 2024,06:00am EDT The Role of Business Intelligence in a CRM – Salesforce Consulting How To Politely Decline A Job Offer In 2024″,”scope”:{“topStory”:{“index”:6,”title”:”How To Politely Decline A Job Offer In 2024″,”image”:”https://specials-images.forbesimg.com/imageserve/64f75d0153bbd0d0411e8144/290×0.jpg”,”isHappeningNowArticle”:false,”date”:{“monthDayYear”:”Aug 14, 2024″,”hourMinute”:”06:00″,”amPm”:”am”,”isEDT”:true,”unformattedDate”:1723629600000},”uri”:”https://www.forbes.com/sites/rachelwells/2024/08/14/how-to-politely-decline-a-job-offer-in-2024/”}},”id”:”c8k6qnbikddk00″},{“textContent”:” Aug 14, 2024,12:30am EDT 6 Tips For Using Your Phone Less While Working”,”scope”:{“topStory”:{“index”:7,”title”:”6 Tips For Using Your Phone Less While Working”,”image”:”https://specials-images.forbesimg.com/imageserve/665b042f858899a5f9c92545/290×0.jpg”,”isHappeningNowArticle”:false,”date”:{“monthDayYear”:”Aug 14, 2024″,”hourMinute”:”12:30″,”amPm”:”am”,”isEDT”:true,”unformattedDate”:1723609800000},”uri”:”https://www.forbes.com/sites/ginnyhogan/2024/08/14/logging-off-tips-for-using-your-phone-less-at-working/”}},”id”:”a2p3m9obnjh800″},{“textContent”:” Aug 13, 2024,12:15pm EDT Top 10 Resume Trends In 2024: What You Need To Know To Stand Out”,”scope”:{“topStory”:{“index”:8,”title”:”Top 10 Resume Trends In 2024: What You Need To Know To Stand Out”,”image”:”https://specials-images.forbesimg.com/imageserve/66baacc63ccee60fc2ce815f/290×0.jpg”,”isHappeningNowArticle”:false,”date”:{“monthDayYear”:”Aug 13, 2024″,”hourMinute”:”12:15″,”amPm”:”pm”,”isEDT”:true,”unformattedDate”:1723565700000},”uri”:”https://www.forbes.com/sites/robinryan/2024/08/13/top-10-resume-trends-in-2024-what-you-need-to-know-to-stand-out/”}},”id”:”6fddhle0g9q400″}],”breakpoints”:[{“breakpoint”:”@media all and (max-width: 767px)”,”config”:{“enabled”:false}},{“breakpoint”:”@media all and (max-width: 768px)”,”config”:{“inView”:2,”slidesToScroll”:1}},{“breakpoint”:”@media all and (min-width: 1681px)”,”config”:{“inView”:6}}]}; Best CRM software of 2024 The best CRM software will integrate with almost every aspect of your business, helping you track customer relations, streamline processes, and boost sales. Many though also offer adjacent functionalities such as email marketing or helpdesk, fueled by the rise of AI. But with countless CRMs to pick from, it can be difficult to know which one is right for your business. We have spent hundreds of hours testing the best CRMs on the market, now we have created this guide to help you find the ones that perfectly meets your needs. Our experts have unpicked the main features and benefits of each platform we have reviewed and outlined the best solutions on the market for all business types. So, whether you are looking for the best CRM for small business or seeking out the best free CRM, we have what you are looking for. Our top 3 best CRMThe best CRM software of 2024 in full: Why you can trust TechRadar We spend hours testing every product or service we review, so you can be sure you’re buying the best. Find out more about how we test. Best overall (Image credit: Salesforce) Best overall CRM Specifications Price: From $25 per user/mo Free plan: No Trial: 30 days Support: Email ticketing and phone Reasons to buy+ All-in-one functionality + Advanced customization + 30-day free trial + Upfront pricing Reasons to avoid- Pricier than the competition – No free plan – Support requires login Salesforce is a global leader in CRM, with advanced, customizable functionality, user-friendly design, and outstanding reporting tools. They proudly state on their website that “98% of customers meet or exceed their ROI goals” which is quite impressive. The main CRM core is Salesforce Sales Cloud, which can be integrated with Marketing Cloud for email automation or with Einstein Analytics for AI-powered business intelligence, among others. While the lower Sales Cloud tiers are comparable with those from Zoho CRM or Apptivo, it’s the Enterprise Plan, or the even higher Unlimited Plan’s features that justify the higher prices. These upper plan features include Workflow Approval and Automation, which can automate standard business processes, and Sales Teams that can designate the members of the team to work on the individual deal. Furthermore, on top of pipeline management, call and email logs, and customizable contact management, Enterprise plans and above include advanced reporting and prediction, app development, full sandbox, sophisticated process automations, and external system integrations via web services APIs. The cost of Salesforce can get expensive on the upper tiers, considering that it is billed per each individual user. While there is also no free tier, we do appreciate the 30-day free trial that is available without a credit card, and does not require any software download. Another benefit is that the pricing is upfront, transparent, with a long list of features designated by the plan for ease of comparison. In use, Salesforce Sales Cloud is intuitive and focuses on getting your leads over the line, but you can customize a significant part of your interface to suit your team’s needs, from dashboards to reports and contact forms. The support requires a login to connect directly. We did find the sales number in multiple places, but not any support number or email, giving us pause on any potential difficulty for direct communication should the need arise. Furthermore, there is a help …

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Salesforce vs. Microsoft Dynamics 365 Overview

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Microsoft Dynamics vs. Salesforce: Comparison 2024 Salesforce vs. Microsoft Dynamics 365 Overview Salesforce’s Sales Hub and Microsoft Dynamics 365 Sales are similar products that offer most of the CRM features you expect to find in standalone CRM software. We compare these two as the primary CRM offerings from both providers, though other products exist for marketing, customer service and other work management functions. Salesforce is a highly customizable CRM that teams can configure for almost any business need, while Microsoft Dynamics 365 serves as a centralized place for customer data for teams that already use it. Salesforce vs. Microsoft Dynamics 365 Comparison Power BI by Microsoft: Pros, Cons, & Use Cases In our survey, CRM users cited workflow automation, contact activity tracking and task management as the most important CRM features. We used these insights to guide us as we tested Salesforce and Microsoft Dynamics 365. There are some notable differences between the platforms’ contact and sales pipeline management approaches, but they offer similar sales assistants powered by artificial intelligence (AI). Microsoft Dynamics is also commonly known as an enterprise resource planning (ERP) tool. Source: MarketWatch Guides Features Overview Salesforce and Microsoft Dynamics 365 offer very similar feature lists for CRM. However, Salesforce offers more native features for marketing automation. Microsoft Dynamics does not include any email-related features in the Sales product, which puts it at a disadvantage compared to many other CRM platforms. Our Salesforce Review and Microsoft Dynamics 365 Review offer more in-depth analyses of these platforms’ top features. Salesforce Sales CloudMicrosoft Dynamics 365 SalesMonthly Price Range$20-$500/user$65-$135/userContact Management✅✅Workflow Automation✅✅Lead Management✅✅Lead Scoring✅✅Pipeline Management✅✅Sales Forecasting✅✅Email Marketing Automation✅❌Analytics✅✅AI-Powered Tools✅(Einstein)✅(Copilot AI)Phone Support✅✅Live Chat✅✅ Contact Management Combine Power BI and Dynamics Microsoft Power BI Microsoft Dynamics 356’s contact profiles are well-organized and easy to navigate, following a similar structure to many popular CRM systems. When we tested the platform, the profiles stood out as one of the more user-friendly features. We could add notes and easily edit contact information without searching through settings. Aside from the contact profiles, Microsoft Dynamics’s approach to the overall contact list is unique. The different Excel-powered charts allowed us to get quick insights into the customer data on the platform. For instance, we could create a drill-down chart of contacts by their city in just a few clicks. While testing the platform, we imagined plenty of use cases for these quick insights and charts. By comparison, Salesforce keeps its analytics separate from the customer profiles, which is the typical setup for customer data within most CRM platforms. The Salesforce customer profiles display contact information alongside upcoming tasks logged in the platform, related opportunities, deals and any quotes a customer has received. These capabilities make it simple for sales teams to refer to any information they need about a customer. View of a sample customer profile in Salesforce. Sales Pipeline Management Microsoft Power BI: Architecture And Features Of This Powerful Microsoft Dynamics’s approach to the sales pipeline is unique compared to other CRM systems we’ve tested. By default, the platform organizes deals in various charts highlighting the sales funnel stages. Most platforms include a list of open deals or, most often, a Kanban-style view of the different deal stages, with movable deal cards sorted into various boards indicating their status. This could be a major plus for teams that don’t love a Kanban board. However, for teams looking for streamlined and straightforward opportunity management, it could overcomplicate how team members view the sales process in the platform. Salesforce’s default configuration for the sales pipeline is a more traditional deal tracking board with the option for a list view. We liked that dragging and dropping the deal cards with automatic deal value calculations at the top of each stage in the pipeline was easy. Sample view of the Salesforce sales pipeline. AI-Powered Features Microsoft Power BI: Architecture And Features Of This Powerful Both Microsoft and Salesforce include AI assistants in their CRM products. Microsoft’s Copilot AI and Salesforce’s Einstein AI are helpful chatbots that users can interact with, similar to ChatGPT. These AI-powered tools also power forecasting, predictive scoring and other advanced features. Microsoft just rolled out Copilot AI last year, and it is helpful for tasks like generating a summary of an open deal; however, it struggled to understand natural language requests. AI tools across the CRM space are very new, and we expect they will learn and improve over time to help streamline CRM strategies. Pricing Microsoft Dynamics 365 and Salesforce offer similar CRM pricing structures, so comparing their pricing is straightforward. Microsoft’s primary sales product has a lower starting price than Salesforce’s Sales Cloud, and Salesforce has a much more comprehensive price range, with the top Einstein 1 Sales plan costing $500 per user per month. Combine Power BI and Dynamics Microsoft Power BI However, both platforms offer “starter kits”  at lower prices with various features across the board. In Salesforce’s case, these are the Starter Suite and Pro Suite, which include top features from the Sales, Marketing and Service Clouds. The Microsoft Dynamics Business Central product is similar, with key features from Dynamics 365 Sales and Service, emphasizing core business functions and finance rather than marketing. Salesforce Pricing Our Salesforce Pricing Guide offers a more in-depth look into Salesforce’s pricing structure. ProductPlanPriceSalesforce Sales CloudProfessional $80/user/month Enterprise $165/user/monthUnlimited$330/user/month Einstein 1 Sales$500/user/month Small Business (Combines Sales, Marketing and Service features) Starter Suite$25/user/monthPro Suite$100/user/month Microsoft Dynamics Pricing ProductPlanPriceMicrosoft Dynamics 365 SalesProfessional $65/user/month Enterprise $95/user/monthPremium$135/user/month Microsoft Dynamics 365 Business CentralEssentials$70/monthPremium$100/month Integrations Salesforce is difficult to beat when it comes to native integrations, and it’s easy to search for any specific third-party apps you need to connect with the Appexchange marketplace. The Microsoft Dynamics 365 CRM is excellent as part of a Microsoft ecosystem, but connecting it with outside tools is more complicated.Competitor software like Google tools won’t be available, and we were also surprised to see that Zapier integration was not an option for Dynamics 365 in the Microsoft AppSource marketplace. However, both platforms offer an API for developers. PlatformSalesforce Sales Cloud Microsoft Dynamics 365 SalesGmail✅❌Google Calendar✅❌Mailchimp✅✅Facebook Ads✅✅Zoom✅✅Slack✅✅Sprout Social✅✅Shopify✅✅Stripe✅✅PandaDoc✅✅DocuSign✅✅Five9✅✅Trello✅❌Asana✅❌Zapier✅❌ Customer Support Salesforce …

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Artificial Intelligence Tech 2024

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Artificial Intelligence Tech 2024-08-13T18:31:05Z Replika lets you buy an AI girlfriend or boyfriend — and its average user age is surprising Replika CEO Eugenia Kuyda said the app’s users are “mostly 35-plus and super engaged.” Some people have formed deep bonds with their AI companions. Tech 2024-08-13T13:40:11Z AI and security concerns fuel a shift to on-premises IT infrastructure as companies seek more control of data AI, data privacy, and security concerns are pushing companies to adopt hybrid IT infrastructure that combines on-prem hardware with cloud services. The best business intelligence (BI) software in Zapier The US and some of its allies just pulled off a milestone first by letting AI target enemies like it would in a war The trial, led by the US Army, was the first time AUKUS members used AI in a simulated battlefield environment akin to a real conflict. It looks like Sam Altman is dropping hints about OpenAI’s next big thing Strawberry aims to give OpenAI’s tech autonomous internet navigation and deep research capabilities, according to a Reuters report. Power BI – Data Visualization Microsoft Power Platform 3 in 4 workers say AI reduced productivity and increased workloads, survey finds A recent survey found that workers were spending more time reviewing AI content or learning how to use the tools. Everything we know about how finance giants are adopting AI, from Goldman Sachs to Blackstone Finance’s biggest firms are considering how AI might impact jobs, how it could cut costs, and reduce “grunt work.” What is Power BI Desktop? – Power BI Microsoft Learn Tech 2024-08-07T18:58:33Z OpenAI’s brain drain isn’t a great look for Sam Altman OpenAI is losing key members like cofounder John Schulman to rivals, adding to challenges in the AI market and trust issues for CEO Sam Altman. A CMO tried Google’s AI tools and stopped using many of them The executive has been using Google’s Performance Max, Smart Bidding, and Gemini. These are their findings. Power BI – Data Visualization Microsoft Power Platform AI was supposed to revolutionize customer service. Morgan Stanley’s interns aren’t buying it. The bank surveys its interns on their technology habits and views. What they said about AI customer service is another warning for the tech industry. Meta’s AI keeps pretending to be me and giving my phone number out to strangers A weird tech glitch with the new Meta AI chatbot highlights the thorny legal and ethical issues facing AI today. Microsoft Business Intelligence The GenAI jitters: Is there enough demand for $1 trillion in AI spending? When you build a lot of new AI data centers, it’s very hard to undo that if end-demand turns out to be weaker than expected. Tech 2024-08-02T21:09:15Z Google, Netflix, and OpenAI execs are hosting a fundraiser for Kamala Harris Kamala Harris has friends in high-tech places as execs from Google, Netflix, and OpenAI organize a fundraiser for the Democratic presidential hopeful. The New York Times and other top news sites block OpenAI’s new SearchGPT web crawling bot The startup launched a new search engine last week. Some top publishers have already made clear that they want nothing to do with the new product. Tech 2024-08-02T18:00:24Z Meta, Amazon, and Alphabet are spending big in a battle to dominate AI. It might not end well. Big Tech giants concede that AI is costing huge sums of money with little return on investment right now. But they say it’s worth the risk. Why workers who lose their jobs to AI might not stay unemployed for long The AI boom won’t follow the same path as the US’s manufacturing decline, an economist says. Workers will have a better chance of finding new jobs. Play Icon A triangle pointing right. It indicates that this type of media can be played or that the linked content is playable. CMO Insider 2024-08-01T20:59:29Z Play icon A circle surrounding a triangle pointing right. It indicates, “this type of media can be played.” How American Express, DoorDash, JP Morgan Chase, and more are using AI to improve business CMOs from major brands reveal how their companies are using AI and its positive impact on the business. Reddit has acquired an AI startup to beef up its ad business in a deal worth around $40 million Reddit hopes its purchase of Memorable AI will boost the performance of advertising on its platform. Meta scraps celebrity AI chatbots after less than a year, despite reportedly paying top creators as much as $5 million Meta is shifting focus to its new AI Studio, which lets users create their own AI bots. Amazon has discussed a ‘DoctorAI’ tool to automate routine healthcare tasks In a leaked document from late 2023, Amazon’s One Medical team discussed their most disruptive ideas. One was a ‘DoctorAI’ large language model. A CIO canceled a Microsoft AI deal. The reason should worry the entire tech industry. The pharmaceutical company IT exec said Microsoft’s Copilot AI tools were not worth the extra money. What Windows users need to know about Chrome’s browser extension shakeup If you’re a Windows user who relies on Google Chrome, get ready: your favorite browser is about to cull your extensions. The Chrome browser is now displaying a message saying some extensions “may soon no longer be supported.” Over the coming months, Google will disable them. (You can turn them back on, but Chrome will still eventually stop running them.) The biggest affected extension: the popular uBlock Origin ad-blocker, though Chrome is warning you’ll have to “remove or replace” many other extensions soon, too. This is just the next chapter in the “Manifest V3” saga — Google’s long-term plan to phase out support for older browser extensions and require developers to adopt a new browser add-on standard. But you do have options to keep using your favorite Chrome extensions — and some browsers, most notably Firefox, will keep supporting them as well. Microsoft Secretly Updates Windows Security (RTTNews) – Microsoft (MSFT) has rolled out several updates in recent weeks, including a Microsoft Defender Antivirus update, …

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Can AI even be open source? It’s complicated

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Can AI even be open source? It’s complicated zf L/Getty Images Without open source, there is no artificial intelligence (AI). Period. End of statement. It’s not just that AI’s early roots spring from the 1960s’ open language Lisp; the headline AI generative models, such as ChatGPT, Llama 2, and DALL-E, are built on solid, open-source foundations. However, those models and programs themselves are not open source. Also: AI scientist: ‘We need to think outside the large language model box’ Best Free and Open Business Intelligence Tools CIO Women Magazine Oh, I know that when Meta CEO Mark Zuckerberg unveiled Llama  3.1 in a Threads post, he said, “Open-source AI is the path forward,” and that Meta is “taking the next steps towards open-source AI becoming the industry standard.” At a SIGGRAPH keynote discussion with Nvidea CEO Jensen Huang, Zuckerberg admitted: We’re not pursuing [open source] out of altruism, though I believe it will benefit the ecosystem. We’re doing it because we think it will enhance our offerings by creating a strong ecosystem. … this might sound selfish, but after building this company for a while, one of my goals for the next 10 or 15 years is to ensure we can build the fundamental technology for our social experiences. Zuckerberg is sincere about open source. As we’ve seen repeatedly, open source is the way to unite technologies. For example, we use a unified Linux now instead of multiple, incompatible versions of Unix because Linus Torvalds open-sourced Linux under GPLv2. Best Open Source Tools Data Teams Love (Updated) Also: A new White House report embraces open-source AI But I’ve also read Meta’s Llama 2 license and the Llama Acceptable Use Policy. It’s not open source. It’s not even close. Zuck’s not alone, though, in playing fast and loose with open source. From the name, you’d think OpenAI is open source. It was indeed open back when GPT-1 and GPT-2 were state-of-the-art. That was a long time — and billions in revenue — ago. Starting with GPL-3, OpenAI closed its doors. As Mark Dingemanse, a language scientist at Radboud University in Nijmegen, Netherlands said in a Nature article, “Some big firms are reaping the benefits of claiming to have open-source models while trying “to get away with disclosing as little as possible.” Free, Cloud and Open Source Business Intelligence Software in Indeed, Dingemanse and his colleague Andreas Liesenfeld found only one AI chatbot that could truly be described as open: The Hugging Face-hosted Large-Language Model (LLM) BigScience/BloomZ. Other LLMs that qualify are Falcon, FastChat-T5, and OpenLLaMA. But most LLMs contain proprietary, copyrighted, or simply unknown information their owners won’t tell you about. As the Electronic Frontier Foundation (EFF) observed, “Garbage In, Gospel Out.” Now, much of the innovative software driving AI is open source. TensorFlow is a versatile learning framework that supports multiple programming languages and is used for machine learning. PyTorch is popular for its dynamic computational graphs and ease of use in deep learning applications that quickly come to mind. Also: How open source attracts some of the world’s top innovators The LLMs and programs built on them are another story. All the most popular AI chatbots and programs are proprietary. So, why are companies claiming their projects are open source?  By “open-washing” their efforts, businesses hope to gild their programs with open source’s positive connotations of transparency, collaboration, and innovation. They also hope to con developers into helping advance their own projects. It’s all about marketing. Clearly, we need to devise an open-source definition that fits AI programs to stop these faux-source efforts in their tracks. Unfortunately, that’s easier said than done. While people constantly fuss over the finer details of what’s open-source code and what isn’t, the Open Source Initiative (OSI) has nailed down the definition, the Open Source Definition (OSD), for almost twenty years. The convergence of open source and AI is much more complicated. In fact, Joseph Jacks, founder of the Venture Capitalist (VC) business FOSS Capital, argued there is “no such thing as open-source AI” since “open source was invented explicitly for software source code.” It’s true. In addition, open-source’s legal foundation is copyright law. As Jacks observed, “Neural Net Weights (NNWs) [which are essential in AI] are not software source code — they are unreadable by humans, nor are they debuggable.” As Stefano Maffulli, OSI executive director, has told me, software and data are mixed in AI, and existing open-source licenses are breaking down. Specifically, trouble emerges when all that data and code are merged in AI/ML artifacts — such as datasets, models, and weights. “Therefore, we need to make a new definition for open-source AI,” said Mafulli. Also: Switzerland’s federal government requires releasing its software as open source However, getting there hasn’t been easy. The main point of contention is the extent of openness required, particularly regarding training data. While some argue that releasing pre-trained models without the training data is sufficient, others argue that true open-source AI should also include access to the training data. As julia ferraioli (Stet: she spells her name in all lower case), Amazon Web Services (AWS) Open Source AI/ML Strategist, observed in a blog post, with the current OSI open-source AI definition 0.08 draft, “the only aspects of the data that a system desiring to be labeled as ‘open source AI’ would need to publish are: training methodologies and techniques; training data scope and characteristics; training data provenance (including how data was obtained and selected), training data labeling procedures, and training data cleaning methodology.” None of that, ferraioli continued, “gives the prospective adopter of the AI system insight into the data that was used to train the system.” Without this data, can an AI be open? Ferraioli argues it can’t. She’s not the only one who holds that position. She quotes her colleague, AWS Principal Open Source Technical Strategist Tom Callaway, who wrote, “Without requiring the data be open, it is not possible for anyone without the data to fully study or modify the LLM, or distribute all …

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You Won’t Need to Pay for Apple Intelligence Anytime Soon

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You Won’t Need to Pay for Apple Intelligence Anytime Soon Despite several analyst reports that Apple will eventually charge for access to Apple Intelligence features, it’s unlikely it plans to do so anytime soon. While many, including Mark Gurman, believe that Apple’s focus on growing its services business makes a paid Apple Intelligence tier inevitable, the Bloomberg analyst is also convinced this won’t be coming in the near future — and that it’s unlikely to encompass any of the Apple Intelligence features that are slated to arrive in iOS 18 over the next year. In late June, Gurman suggested an “Apple Intelligence+” tier could eventually arrive with a monthly fee, but it would most likely consist of extra new features rather than putting things like Siri personal context, Image Playground, and Genmoji behind a paywall. More analysts chimed in last week to suggest a $20 monthly price tag, although it seems like they’re pulling that number out of thin air based on what they feel the market will bear. For example, OpenAI charges $20 per month for its ChatGPT Plus subscription, but that’s not a fair comparison to what Apple is likely to do since OpenAI’s paid plans are about providing higher usage limits more than additional features. Home Office Business Intelligence Help Section – How can we help? However, amidst all this speculation, Gurman has offered an important point of clarification. While he maintains in his latest Power On newsletter that a paid Apple Intelligence tier will eventually arrive, he also emphasizes that it will be years before Apple is ready to go there. That’s because Gurman doesn’t expect Apple Intelligence to be a mature product that people will be willing to pay for before 2027 — and he calls that a “best-case scenario.” Apple isn’t foolish enough to try to charge high fees for something that’s not ready for prime time. Say what you will about Apple TV+ when it first launched in 2019, but even though it had a limited catalog of content, and what was there may not have been everyone’s cup of tea, it still had some big-name talent on board. It also launched at a much lower price than any other streaming service — a price it later admitted was deliberately set low to reflect the smaller amount of content available at launch. Apple Intelligence is arguably launching early in response to the AI hype, but it will be well into 2025 before it offers everything that Apple showed us during its Worldwide Developers Conference (WWDC). Business Intelligence Platform: How To Choose the Suitable One? The second iOS 18.1 beta came out earlier this week with preliminary Apple Intelligence features, which still excludes the really fun stuff like Genmoji and Image Playground. Those might be ready by the time iOS 18.1 gets released in October, but ChatGPT integration probably won’t show up until iOS 18.2, and we already know that the more powerful Siri and personal context features aren’t likely to appear until iOS 18.4. Then there’s the wrinkle that Apple Intelligence is only available in the US English and is restricted in the European Union and China due to regulatory issues. Apple has promised to add more languages over the next year, but there’s no word on when those will show up, and while it’s also working on the regulatory hurdles, that could take even longer. As it stands now, Apple Intelligence may not be fully baked until iOS 19 arrives next year, and even then, it’s hard to imagine Apple being ready to add even more features that will be worth charging for. Lastly, it’s important to remember that everything that’s been said about Apple charging for Apple Intelligence is educated speculation, at best. Apple has not even hinted that it will try to monetize any of these features directly from end users. It’s likely getting a cut from ChatGPT subscriptions made through Apple Intelligence, but that’s a typical arrangement for every in-app subscription. What is Business Intelligence and how it supports by office That’s in contrast to Emergency SOS via satellite. When Apple launched that in 2022 with the iPhone 14 lineup, it made it clear that it could eventually start charging for satellite access, promising iPhone 14 owners only two years of free access. It has yet to say what will happen when that time is up, but it’s already extended that into late 2025, matching the two years that new iPhone 15 buyers would have received at launch. Only Apple knows when or if it will charge for satellite access, but it’s left the door open to do so. That’s not the case with Apple Intelligence. While Apple is undoubtedly looking at ways it can grow its services business, it’s not trying to turn everything into a subscription service, and rumors of a paid Apple Intelligence+ tier could end up carrying as much weight as earlier rumors of things like Apple Mail+ and Apple Health+. [The information provided in this article has NOT been confirmed by Apple and may be speculation. Provided details may not be factual. Take all rumors, tech or otherwise, with a grain of salt.] Artificial Intelligence is Taking on More Tasks, and This Can Help HVAC Office Workers Get More Done Business Intelligence Tools You Need to Know Coursera ✕ It may not be able wield a broom just yet, but artificial intelligence (AI) is fast becoming a jack-of-most-trades for HVAC contracting businesses. AI can be employed as a dispatch manager, a job estimator, a business coach, a marketing assistant, even a bill collector — and more. At one field-service software company that incorporates AI, Workiz Inc., the goal is to “automate everything that does not involve a wrench,” said Didi Azaria, the CEO. Didi Azaria of Workiz “This guiding principle ensures that our solutions free HVACR contractors from administrative burdens, allowing them to focus on the hands-on, technical work that requires their expertise,” Azaria said. The newer forms of ready-to-use AI have captured the public’s imagination, …

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RBC Capital Keeps Their Buy Rating on Jasper Therapeutics (JSPR)

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RBC Capital Keeps Their Buy Rating on Jasper Therapeutics (JSPR) In a report released yesterday, Gregory Renza from RBC Capital maintained a Buy rating on Jasper Therapeutics (JSPR – Research Report), with a price target of $68.00. The company’s shares closed yesterday at $18.85. Renza covers the Healthcare sector, focusing on stocks such as Perspective Therapeutics, Pacira Pharmaceuticals, and Viridian Therapeutics. According to TipRanks, Renza has an average return of 13.8% and a 45.27% success rate on recommended stocks. Jasper Therapeutics has an analyst consensus of Strong Buy, with a price target consensus of $72.71, which is a 285.73% upside from current levels. In a report released yesterday, BTIG also reiterated a Buy rating on the stock with a $90.00 price target. JasperReports Server in – Reviews, Features, Pricing The company has a one-year high of $31.01 and a one-year low of $4.00. Currently, Jasper Therapeutics has an average volume of 171.6K. TipRanks tracks over 100,000 company insiders, identifying the select few who excel in timing their transactions. By upgrading to TipRanks Premium, you will gain access to this exclusive data and discover crucial insights to guide your investment decisions. Begin your TipRanks Premium journey today. Jasper Therapeutics (JSPR) Company Description: Amplitude Healthcare Acquisition Corp is a blank check company formed for the purpose of effecting a merger, share exchange, asset acquisition, share purchase, reorganization or similar business combination with one or more businesses. Jaspersoft Business Intelligence Suite in – Reviews, Features How Small Businesses Can Use AI To Get A Competitive Edge Aug 14, 2024,01:15pm EDT 20 Key Factors That Contribute To Business Success”,”scope”:{“topStory”:{“index”:1,”title”:”20 Key Factors That Contribute To Business Success”,”image”:”https://specials-images.forbesimg.com/imageserve/66bbc718f1ae0243844d2025/290×0.jpg”,”isHappeningNowArticle”:false,”date”:{“monthDayYear”:”Aug 14, 2024″,”hourMinute”:”01:15″,”amPm”:”pm”,”isEDT”:true,”unformattedDate”:1723655700000},”uri”:”https://www.forbes.com/councils/forbesbusinesscouncil/2024/08/14/20-key-factors-that-contribute-to-business-success/”}},”id”:”81o7151ocoi800″},{“textContent”:” Aug 14, 2024,10:30am EDT Reporting & Embedded Analytics Solutions Jaspersoft DTC Vs. Marketplace: How To Choose The Right Channel Strategy”,”scope”:{“topStory”:{“index”:2,”title”:”DTC Vs. Marketplace: How To Choose The Right Channel Strategy”,”image”:”https://specials-images.forbesimg.com/imageserve/66bbc8e8626eb7c8941dc46b/290×0.jpg”,”isHappeningNowArticle”:false,”date”:{“monthDayYear”:”Aug 14, 2024″,”hourMinute”:”10:30″,”amPm”:”am”,”isEDT”:true,”unformattedDate”:1723645800000},”uri”:”https://www.forbes.com/councils/forbesbusinesscouncil/2024/08/14/dtc-vs-marketplace-how-to-choose-the-right-channel-strategy/”}},”id”:”dre210a113lk00″},{“textContent”:” Aug 14, 2024,10:15am EDT Workplace Burnout: Identifying And Addressing It”,”scope”:{“topStory”:{“index”:3,”title”:”Workplace Burnout: Identifying And Addressing It”,”image”:”https://specials-images.forbesimg.com/imageserve/66bbc7fb811a20a82afebf37/290×0.jpg”,”isHappeningNowArticle”:false,”date”:{“monthDayYear”:”Aug 14, 2024″,”hourMinute”:”10:15″,”amPm”:”am”,”isEDT”:true,”unformattedDate”:1723644900000},”uri”:”https://www.forbes.com/councils/forbesbusinesscouncil/2024/08/14/workplace-burnout-identifying-and-addressing-it/”}},”id”:”cr3clbj362io00″},{“textContent”:” Aug 14, 2024,10:00am EDT Jaspersoft Software Reviews, Demo & Pricing – Turning Data Into Dollars: A Strategic Approach For Leaders”,”scope”:{“topStory”:{“index”:4,”title”:”Turning Data Into Dollars: A Strategic Approach For Leaders”,”image”:”https://specials-images.forbesimg.com/imageserve/62601f40cff8e83e2777648b/290×0.jpg”,”isHappeningNowArticle”:false,”date”:{“monthDayYear”:”Aug 14, 2024″,”hourMinute”:”10:00″,”amPm”:”am”,”isEDT”:true,”unformattedDate”:1723644000000},”uri”:”https://www.forbes.com/councils/forbesbusinesscouncil/2024/08/14/turning-data-into-dollars-a-strategic-approach-for-leaders/”}},”id”:”rb4ci7rc8rng0″},{“textContent”:” Aug 14, 2024,10:00am EDT On-Demand Talent Can Push Key Objectives Forward Amid An Increase In M&A Deals”,”scope”:{“topStory”:{“index”:5,”title”:”On-Demand Talent Can Push Key Objectives Forward Amid An Increase In M&A Deals”,”image”:”https://specials-images.forbesimg.com/imageserve/66bbd23187f655bb26940985/290×0.jpg”,”isHappeningNowArticle”:false,”date”:{“monthDayYear”:”Aug 14, 2024″,”hourMinute”:”10:00″,”amPm”:”am”,”isEDT”:true,”unformattedDate”:1723644000000},”uri”:”https://www.forbes.com/councils/forbesbusinesscouncil/2024/08/14/on-demand-talent-can-push-key-objectives-forward-amid-an-increase-in-ma-deals/”}},”id”:”84ma0iigk2q000″},{“textContent”:” Aug 14, 2024,09:45am EDT Disaster-Proof Leadership: Navigating Transformation In A Crisis”,”scope”:{“topStory”:{“index”:6,”title”:”Disaster-Proof Leadership: Navigating Transformation In A Crisis”,”image”:”https://specials-images.forbesimg.com/imageserve/66ba4be4e1706300bd21d4ca/290×0.jpg”,”isHappeningNowArticle”:false,”date”:{“monthDayYear”:”Aug 14, 2024″,”hourMinute”:”09:45″,”amPm”:”am”,”isEDT”:true,”unformattedDate”:1723643100000},”uri”:”https://www.forbes.com/councils/forbesbusinesscouncil/2024/08/14/disaster-proof-leadership-navigating-transformation-in-a-crisis/”}},”id”:”4p1qbncl3iag00″},{“textContent”:” Aug 14, 2024,09:30am EDT Managing Competing Priorities As A Leader”,”scope”:{“topStory”:{“index”:7,”title”:”Managing Competing Priorities As A Leader”,”image”:”https://specials-images.forbesimg.com/imageserve/66881b64fc16e7ba2b955ba6/290×0.jpg”,”isHappeningNowArticle”:false,”date”:{“monthDayYear”:”Aug 14, 2024″,”hourMinute”:”09:30″,”amPm”:”am”,”isEDT”:true,”unformattedDate”:1723642200000},”uri”:”https://www.forbes.com/councils/forbesbusinesscouncil/2024/08/14/managing-competing-priorities-as-a-leader/”}},”id”:”blg1g60p19dk00″},{“textContent”:” Aug 14, 2024,09:15am EDT Achieving Success Through Time: Knowing When To Innovate And When To Stay True To Your Roots”,”scope”:{“topStory”:{“index”:8,”title”:”Achieving Success Through Time: Knowing When To Innovate And When To Stay True To Your Roots”,”image”:”https://specials-images.forbesimg.com/imageserve/66bbc43ab9152f9b92974d87/290×0.jpg”,”isHappeningNowArticle”:false,”date”:{“monthDayYear”:”Aug 14, 2024″,”hourMinute”:”09:15″,”amPm”:”am”,”isEDT”:true,”unformattedDate”:1723641300000},”uri”:”https://www.forbes.com/councils/forbesbusinesscouncil/2024/08/14/achieving-success-through-time-knowing-when-to-innovate-and-when-to-stay-true-to-your-roots/”}},”id”:”88p9mcjpqnko0″}],”breakpoints”:[{“breakpoint”:”@media all and (max-width: 767px)”,”config”:{“enabled”:false}},{“breakpoint”:”@media all and (max-width: 768px)”,”config”:{“inView”:2,”slidesToScroll”:1}},{“breakpoint”:”@media all and (min-width: 1681px)”,”config”:{“inView”:6}}]}; Buy Rating Reaffirmed for Jasper Therapeutics on Strong Clinical Performance and Market Potential BTIG analyst Justin Zelin has reiterated their bullish stance on JSPR stock, giving a Buy rating yesterday. Justin Zelin has given his Buy rating due to a combination of factors including Jasper Therapeutics’ strong performance in their clinical studies and the potential for their drug candidate, briq, to offer competitive efficacy and safety. Jasper’s enrollment for their BEACON study proceeded more rapidly than expected, enabling them to present comprehensive data sooner and add a new dosage cohort to their trial. This robust enrollment pace suggests a high level of interest and confidence in the treatment, which Zelin views as a positive indicator for the company’s prospects. The addition of the 180mg dose every eight weeks also presents an opportunity for Jasper to refine their dose selection for future registrational studies at a minimal cost. Furthermore, the expected data from the SPOTLIGHT study in the fourth quarter could set Jasper’s briq apart on safety, especially in light of competing treatments like Celldex’s barzolvolimab, which has shown a risk of anaphylaxis. Zelin anticipates that the risk of such adverse events with briq could be lower due to its rational design and lower observed adverse event rates to date. Additionally, Jasper’s financial performance in the second quarter was better than consensus estimates, and its planned expansion into severe asthma presents further growth opportunities. With these factors in mind, Zelin reaffirms his Buy rating and $90 price target, looking ahead to meaningful catalysts that could significantly impact Jasper’s valuation. In another report released yesterday, Capital One Financial also assigned a Buy rating to the stock with a $55.00 price target. JSPR’s price has also changed slightly for the past six months – from $17.820 to $18.850, which is a 5.78% increase. TipRanks tracks over 100,000 company insiders, identifying the select few who excel in timing their transactions. By upgrading to TipRanks Premium, you will gain access to this exclusive data and discover crucial insights to guide your investment decisions. Begin your TipRanks Premium journey today. Jasper Therapeutics (JSPR) Company Description: Amplitude Healthcare Acquisition Corp is a blank check company formed for the purpose of effecting a merger, share exchange, asset acquisition, share purchase, reorganization or similar business combination with one or more businesses. Sam Altman warned OpenAI will ‘steamroll’ AI startups. I run one. Here’s why I’m not worried Building an AI startup in 2024 is a lot of things. It is exciting, surreal, and rewarding. We are building to solve real user problems using a new, groundbreaking technology in the early innings of what is likely the next big wave in tech. Awesome, right? Yes, but it can also be equal parts terrifying. Spend any amount of time online in tech communities and you are sure to see headlines declaring that the most recent AI breakthrough spells the end for most AI startups. In a space where breakthroughs happen by the week, this can be tiresome. It is not just tech journalists, opinionists, and fire-stokers making these declarations. It also comes directly from the people responsible for launching these breakthroughs. A few months back on the 20VC podcast, OpenAI CEO Sam Altman …

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Microsoft announces Power BI Premium

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Microsoft announces Power BI Premium Microsoft is expanding its business analytics and intelligence portfolio with the announcement of Power BI Premium. Power BI Premium is an extension of the company’s Power BI solution that provides improved performance for larger data volumes. “Power BI was first made generally available in July 2015. Since then, Microsoft’s driving vision for Power BI has been to enable users across roles, disciplines and industries to sign up for the service in seconds and get business value by drawing insights from their data within minutes,” Kamal Hathi, general manager at Microsoft, wrote in a post. “Power BI Premium builds on the existing Power BI portfolio with a capacity-based licensing model that increases flexibility for how users access, share and distribute content.” The new solution features expanded licensing flexibility, improved scale and performance, Power BI apps, extends on-premises capabilities, and provides embedded analytics. The solution also provides the Power BI Reporter Server, an on-premises solution for reporting. BIDynamics – Business intelligence for Microsoft Dynamics In addition, the company announced it is improving the free Power BI service. Going forward, the service will provide the same functionality of Power BI Pro, but with limitations to sharing and collaboration features. Users will now be able to take advantage of the data sources, workspace storage limits, and higher refresh and streaming rates. “Just as Power BI Premium simplifies large-scale BI deployments, today we’re also simplifying the distinction between Power BI Pro and the free service. While the free service is intended for personal use and Power BI Pro enables collaboration, we’ve received feedback that functional differences between them have created confusion for users,” Hathi wrote. More information about Power BI Premium is available here. How AI Can Power Brand Management Microsoft Dynamics NAV Integration with Power BI Marketers have begun experimenting with AI to improve their brand-management efforts. But unlike other marketing tasks, brand management involves more than just repeatedly executing one specialized function. Long considered the exclusive domain of creative talent, it encompasses multiple activities designed to build the reputation and image of a business—such as crafting and communicating the brand story, ensuring that the product or service and its price reflect the brand’s competitive positioning, and managing customer relationships to forge loyalty to the brand. A brand is a promise to customers about the quality, style, reliability, and aspiration of a purchase. AI can’t fulfill that promise on its own (at least not anytime soon). But it can shape customers’ impressions of a brand at every interaction. And it can automate expensive creative tasks—including product design. To succeed with it, you must understand how it is perceived by stakeholders and what can be done not only to mitigate their concerns but to make them avid supporters. Using examples from Intuit, Caterpillar, and LOOP, along with in-depth scholarly research, the authors propose a framework for thinking about the key roles that AI plays when it comes to managing brands effectively. CADDi Wins Best Business Intelligence and Engineering Management Software at 2024 SaaS Awards CHICAGO, August 13, 2024—CADDi, a leading global procurement solutions provider for the manufacturing industry, is a winner of the 2024 SaaS Awards. CADDi Drawer, the company’s innovative AI software, has been recognized in two key categories: Best SaaS Product for Business Intelligence or Analytics and Best SaaS Product for Engineering Management, PLM, or CAD. These prestigious awards highlight CADDi’s commitment to driving excellence and innovation in manufacturing. Configure Dynamics NAV with Power BI Navisiontech, Inc The SaaS Awards is a long-established program that recognizes the best software-as-a-service solutions from around the world. Past winners include Intuit Quickbooks, Blue Yonder, Last Pass and SAP SE. This year’s competition was particularly fierce, with entries from organizations of all sizes spanning North America, Europe, and APAC. CADDi’s success in two critical categories is a testament to the software’s powerful capabilities and its impact on the manufacturing industry. “When we first developed CADDi Drawer, we were trying to find a solution for categorizing the hundreds of millions of drawings our manufacturing customers were sending us. It was just too great a volume of data for us to reliably process competitive quotes at speed,” said Yushiro Kato, CEO and Co-Founder of CADDi. “Drawer allowed us to extract and organize data from drawings and use it to interlink those designs with POs, quality defect reports, PLM files, or CAM data from across the rest of our customer’s entire tech stack.” CADDi Drawer’s recognition in the Best SaaS Product for Business Intelligence or Analytics category highlights its advanced capabilities in simplifying and streamlining manufacturing data management. By integrating data from various production systems, CADDi Drawer ensures that complex engineering information is easily accessible and actionable. Its patented similarity search feature facilitates the efficient retrieval and comparison of engineering drawings, enhancing procurement and engineering processes with real-time insights and streamlined workflows. “By giving all our customers an easily accessible and intractable data model on Day One, we make it possible for them to leverage their entire historical record in ways they never could, “ Kato added. “That’s true whether you’re trying to deploy AI in your business or just trying to up-skill folks to help address labor shortages. It’s been amazing to watch our customers standardize the use of Drawer across procurement, engineering, manufacturing, and sales. The speed with which these companies are starting to make hard, data-driven decisions is incredible. It’s precisely why we built Drawer in the first place. We’re going to keep pushing the boundaries of what people can do with manufacturing data. That’s just what we do.” Microsoft Power BI solution connect reports Business intelligence In the Best SaaS Product for Engineering Management, PLM, or CAD category, CADDi Drawer was celebrated for its user-friendly interface and powerful engineering capabilities. The software’s AI-driven tools streamline engineering management, making it easier for teams to access, share, and analyze technical drawings and data. This has led to significant improvements in efficiency, cost control, and overall project management for manufacturers. “CADDi has demonstrated an …

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Microsoft Power BI – What Is It and What to Use It For? – TPG The

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how much it cost to purchase oracle business intelligence enterprise edition 11g?Is Oracle Database Enterprise Edition free? You get a free Oracle Database that you can use in any environment, as well as the ability to embed and distribute it. How much does Oracle Standard Edition cost? Standard Edition 2 (SE2), as well as previous editions Standard Edition and Standard Edition 1, can provide excellent value and cost significantly less than Oracle Enterprise Edition (EE). SE2 is currently listed at $17,500 per socket, compared to Enterprise Edition’s $47,500 per processor. Microsoft Power BI – What Is It and What to Use It For? – TPG The What is Oracle Business Intelligence Suite Enterprise Edition Plus? This Oracle Business Intelligence Suite Enterprise Edition Plus platform is built on Oracle Business Intelligence Server, which is designed to be highly scalable, maximizing concurrency and parallelism to make BI applications accessible to as many users as possible. What is Oracle Business Intelligence used for? Oracle Business Intelligence (BI) is a set of technologies and applications that together form the industry’s first fully integrated, end-to-end Enterprise Performance Management System, which includes BI foundation and tools such as query, reporting, analysis, alerting, mobile analytics, data integration, and more. Is Microsoft Power BI a data warehouse also? What is OBIEE 11g? Oracle Business Intelligence Enterprise Edition is referred to as OBIEE. Oracle has created a business intelligence tool. The most recent version of OBIEE is OBIEE 11g. This software includes the following components: Oracle BI Server: This server is responsible for providing data access and query capabilities to the Oracle Business Intelligence software. What data can be searched with Oracle? You can search for catalog objects by name, type, location, and description in the Oracle BI Mobile application. A search results list can only contain objects in Oracle BI Mobile that you can view. Microsoft Power BI: Architecture And Features Of This Powerful Is Oracle 11g Enterprise Edition free? There’s no way to keep this “management system” software free if you’re using Oracle database to run it as a production tool for your company. You must obtain a database license. Is Oracle 11 g free? Oracle Database 11g Express Edition (Oracle Database XE) is a free version of the most powerful relational database on the market. Oracle Database XE is simple to set up, administer, and develop with. How Business Intelligence in ERP Can Improve Your Company Go Can I download Oracle for free? You will be able to download all of the software downloads for free, and most of them come with a Developer License that allows you to use the full versions of the products for free as you are developing and prototyping your applications, or for strictly self-education. What is the cost of Oracle license? Oracle licensing is quite costly: the enterprise edition costs $47,500 per unit (sockets cores per socket core factor), while the standard edition costs $17,500 per unit (sockets). Microsoft Power BI: Architecture And Features Of This Powerful How much does it cost to reduce Oracle license? Using hardware with fewer but more powerful processor cores is another way to reduce Oracle license counts. According to Oracle’s Processor Core Factor Table, the number of licenses required for each server model is determined by this table. The more core factors there are, the more licenses are needed. How many Oracle licenses do I need? Standard Edition requires at least 5 Named User Plus licenses, or the total number of actual users, whichever is higher. Oracle Database Standard Edition is only available on servers with a maximum socket capacity of four. This program also allows you to license a blade server that meets these requirements. Is Oracle Standard Edition free? The standard and enterprise editions are not free, but the OTN license allows them to be downloaded for free. That’s fine for things like tinkering with Oracle to learn it on your own. Does Oracle have a free version? Free Oracle Database for Everyone You get a free Oracle Database that you can use in any environment, as well as the ability to embed and redistribute it. What is included in Oracle Enterprise Edition? Oracle Database Enterprise Edition gives mission-critical applications like high-volume online transaction processing (OLTP) applications, query-intensive data warehouses, and demanding Internet applications the performance, availability, scalability, and security they need. How much is Oracle database license cost? TypePriceSoftware License$500.00 – $5,000.00Software License$1,200.00 – $12,000.00Software License$750.00 – $112,500.00Software License$1,150.00 – $11,500.00 How much does Oracle SQL cost? There are two types of licenses: Enterprise Edition and Standard Edition. Enterprise Edition costs $47,500 per unit (sockets, cores per socket, and core factor). Standard Edition costs $17,500 per socket. Standard Edition One costs $5,800 per socket. What is Oracle Standard Edition? Oracle Database Standard Edition 2 (SE2) is a full-featured, low-cost database with unrivaled ease of use, power, and performance. Regardless of the number of cores in the socket, Oracle Database SE2 customers pay the same license fee. How much does Oracle Enterprise Cost? Type Price Software License $1,150.00 – $11,500.00 Software License $2,300.00 – $23,000.00 Software License $400.00 – $2,000.00 Software License $1,750.00 – $17,500.00 Is Oracle Enterprise Edition free? The express version is available for no cost. The standard and enterprise editions are not free, but the OTN license allows them to be downloaded for free. That’s fine for things like tinkering with Oracle to learn it on your own. Is Oracle too expensive? Oracle licensing, as well as annual maintenance and support, are simply too expensive, users complained in a recent survey, with the majority of Oracle customers actively planning to reduce their spending with the vendor, though most have limited plans to migrate off-premises environments and into the cloud. How is Oracle RAC license calculated? The number of required licenses is calculated by multiplying the processor’s total number of cores by a core processor licensing factor found on the Oracle Processor Core Factor Table, which can be found at http://www.oracle.com. oracle. Processor-core-factor-table-070634 is available at com/us/corporate/contracts/processor-core-factor-table-070634. How is cost …

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The Rise Of Multidimensional Data in HR

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Innovative Data Strategies: Leveraging AI For Smarter Enterprise Operations Aug 14, 2024,10:15am EDT From Hidden Energy To High Performance: How To Engage Introverts To Optimize Workplace Dynamics”,”scope”:{“topStory”:{“index”:1,”title”:”From Hidden Energy To High Performance: How To Engage Introverts To Optimize Workplace Dynamics”,”image”:”https://specials-images.forbesimg.com/imageserve/66bb9eaf2f4db016e24d098c/290×0.jpg”,”isHappeningNowArticle”:false,”date”:{“monthDayYear”:”Aug 14, 2024″,”hourMinute”:”10:15″,”amPm”:”am”,”isEDT”:true,”unformattedDate”:1723644900000},”uri”:”https://www.forbes.com/councils/forbestechcouncil/2024/08/14/from-hidden-energy-to-high-performance-how-to-engage-introverts-to-optimize-workplace-dynamics/”}},”id”:”3cdprf7g2i5000″},{“textContent”:” Aug 14, 2024,10:00am EDT ETL (Extract, Transform and Load) Definition: What does ETL mean The Best Recipes For Human Connection In Healthcare Combine Digital And Analog Ingredients”,”scope”:{“topStory”:{“index”:2,”title”:”The Best Recipes For Human Connection In Healthcare Combine Digital And Analog Ingredients”,”image”:”https://specials-images.forbesimg.com/imageserve/66bb9df512367aad52f0b0e5/290×0.jpg”,”isHappeningNowArticle”:false,”date”:{“monthDayYear”:”Aug 14, 2024″,”hourMinute”:”10:00″,”amPm”:”am”,”isEDT”:true,”unformattedDate”:1723644000000},”uri”:”https://www.forbes.com/councils/forbestechcouncil/2024/08/14/the-best-recipes-for-human-connection-in-healthcare-combine-digital-and-analog-ingredients/”}},”id”:”2g9401pdpj3g00″},{“textContent”:” Aug 14, 2024,09:45am EDT Overcoming The Challenges Of Using AI Chatbots In Healthcare”,”scope”:{“topStory”:{“index”:3,”title”:”Overcoming The Challenges Of Using AI Chatbots In Healthcare”,”image”:”https://specials-images.forbesimg.com/imageserve/65eb37f10a2278925e9cdb57/290×0.jpg”,”isHappeningNowArticle”:false,”date”:{“monthDayYear”:”Aug 14, 2024″,”hourMinute”:”09:45″,”amPm”:”am”,”isEDT”:true,”unformattedDate”:1723643100000},”uri”:”https://www.forbes.com/councils/forbestechcouncil/2024/08/14/overcoming-the-challenges-of-using-ai-chatbots-in-healthcare/”}},”id”:”62f7h6f11km000″},{“textContent”:” Aug 14, 2024,09:30am EDT Extract, transform, load (ETL) – Azure Architecture Center Becoming A Multi-Product Business”,”scope”:{“topStory”:{“index”:4,”title”:”Becoming A Multi-Product Business”,”image”:”https://specials-images.forbesimg.com/imageserve/65131d3bcb7a1fc00ce69c3b/290×0.jpg”,”isHappeningNowArticle”:false,”date”:{“monthDayYear”:”Aug 14, 2024″,”hourMinute”:”09:30″,”amPm”:”am”,”isEDT”:true,”unformattedDate”:1723642200000},”uri”:”https://www.forbes.com/councils/forbestechcouncil/2024/08/14/becoming-a-multi-product-business/”}},”id”:”9em1lk9cd1eo00″},{“textContent”:” Aug 14, 2024,09:15am EDT Analytic Trends Reshaping Delivery Optimization In Last-Mile Logistics”,”scope”:{“topStory”:{“index”:5,”title”:”Analytic Trends Reshaping Delivery Optimization In Last-Mile Logistics”,”image”:”https://specials-images.forbesimg.com/imageserve/6671beb282c978843a6a5fb3/290×0.jpg”,”isHappeningNowArticle”:false,”date”:{“monthDayYear”:”Aug 14, 2024″,”hourMinute”:”09:15″,”amPm”:”am”,”isEDT”:true,”unformattedDate”:1723641300000},”uri”:”https://www.forbes.com/councils/forbestechcouncil/2024/08/14/analytic-trends-reshaping-delivery-optimization-in-last-mile-logistics/”}},”id”:”3i6a864c5hl000″},{“textContent”:” Aug 14, 2024,09:00am EDT Understanding Business Intelligence Through Modernizing ETL Reimagine Customer Experience, Risk And Regulation In Financial Services With AI”,”scope”:{“topStory”:{“index”:6,”title”:”Reimagine Customer Experience, Risk And Regulation In Financial Services With AI”,”image”:”https://specials-images.forbesimg.com/imageserve/63f90facfcef60e108d5759b/290×0.jpg”,”isHappeningNowArticle”:false,”date”:{“monthDayYear”:”Aug 14, 2024″,”hourMinute”:”09:00″,”amPm”:”am”,”isEDT”:true,”unformattedDate”:1723640400000},”uri”:”https://www.forbes.com/councils/forbestechcouncil/2024/08/14/reimagine-customer-experience-risk-and-regulation-in-financial-services-with-ai/”}},”id”:”40ogl34n020800″},{“textContent”:” Aug 14, 2024,08:45am EDT Are AI And BPO Natural Bedfellows?”,”scope”:{“topStory”:{“index”:7,”title”:”Are AI And BPO Natural Bedfellows?”,”image”:”https://specials-images.forbesimg.com/imageserve/66bb9ada3d7e765a91bfb70f/290×0.jpg”,”isHappeningNowArticle”:false,”date”:{“monthDayYear”:”Aug 14, 2024″,”hourMinute”:”08:45″,”amPm”:”am”,”isEDT”:true,”unformattedDate”:1723639500000},”uri”:”https://www.forbes.com/councils/forbestechcouncil/2024/08/14/are-ai-and-bpo-natural-bedfellows/”}},”id”:”4652j908q67g00″},{“textContent”:” Aug 14, 2024,08:30am EDT What is Business Intelligence (BI): Complete Implementation Quantifying The ROI Of Generative AI With A Focus On Cost-Efficiency”,”scope”:{“topStory”:{“index”:8,”title”:”Quantifying The ROI Of Generative AI With A Focus On Cost-Efficiency”,”image”:”https://specials-images.forbesimg.com/imageserve/66bb9a38819d80a518672939/290×0.jpg”,”isHappeningNowArticle”:false,”date”:{“monthDayYear”:”Aug 14, 2024″,”hourMinute”:”08:30″,”amPm”:”am”,”isEDT”:true,”unformattedDate”:1723638600000},”uri”:”https://www.forbes.com/councils/forbestechcouncil/2024/08/14/quantifying-the-roi-of-generative-ai-with-a-focus-on-cost-efficiency/”}},”id”:”cmeqd98qj7fc00″}],”breakpoints”:[{“breakpoint”:”@media all and (max-width: 767px)”,”config”:{“enabled”:false}},{“breakpoint”:”@media all and (max-width: 768px)”,”config”:{“inView”:2,”slidesToScroll”:1}},{“breakpoint”:”@media all and (min-width: 1681px)”,”config”:{“inView”:6}}]}; Innovative Data Strategies: Leveraging AI For Smarter Enterprise Operations Aug 14, 2024,10:15am EDT From Hidden Energy To High Performance: How To Engage Introverts To Optimize Workplace Dynamics”,”scope”:{“topStory”:{“index”:1,”title”:”From Hidden Energy To High Performance: How To Engage Introverts To Optimize Workplace Dynamics”,”image”:”https://specials-images.forbesimg.com/imageserve/66bb9eaf2f4db016e24d098c/290×0.jpg”,”isHappeningNowArticle”:false,”date”:{“monthDayYear”:”Aug 14, 2024″,”hourMinute”:”10:15″,”amPm”:”am”,”isEDT”:true,”unformattedDate”:1723644900000},”uri”:”https://www.forbes.com/councils/forbestechcouncil/2024/08/14/from-hidden-energy-to-high-performance-how-to-engage-introverts-to-optimize-workplace-dynamics/”}},”id”:”3cdprf7g2i5000″},{“textContent”:” Aug 14, 2024,10:00am EDT ETL Development in Business Intelligence: Overview – Thinklayer The Best Recipes For Human Connection In Healthcare Combine Digital And Analog Ingredients”,”scope”:{“topStory”:{“index”:2,”title”:”The Best Recipes For Human Connection In Healthcare Combine Digital And Analog Ingredients”,”image”:”https://specials-images.forbesimg.com/imageserve/66bb9df512367aad52f0b0e5/290×0.jpg”,”isHappeningNowArticle”:false,”date”:{“monthDayYear”:”Aug 14, 2024″,”hourMinute”:”10:00″,”amPm”:”am”,”isEDT”:true,”unformattedDate”:1723644000000},”uri”:”https://www.forbes.com/councils/forbestechcouncil/2024/08/14/the-best-recipes-for-human-connection-in-healthcare-combine-digital-and-analog-ingredients/”}},”id”:”2g9401pdpj3g00″},{“textContent”:” Aug 14, 2024,09:45am EDT Overcoming The Challenges Of Using AI Chatbots In Healthcare”,”scope”:{“topStory”:{“index”:3,”title”:”Overcoming The Challenges Of Using AI Chatbots In Healthcare”,”image”:”https://specials-images.forbesimg.com/imageserve/65eb37f10a2278925e9cdb57/290×0.jpg”,”isHappeningNowArticle”:false,”date”:{“monthDayYear”:”Aug 14, 2024″,”hourMinute”:”09:45″,”amPm”:”am”,”isEDT”:true,”unformattedDate”:1723643100000},”uri”:”https://www.forbes.com/councils/forbestechcouncil/2024/08/14/overcoming-the-challenges-of-using-ai-chatbots-in-healthcare/”}},”id”:”62f7h6f11km000″},{“textContent”:” Aug 14, 2024,09:30am EDT Becoming A Multi-Product Business”,”scope”:{“topStory”:{“index”:4,”title”:”Becoming A Multi-Product Business”,”image”:”https://specials-images.forbesimg.com/imageserve/65131d3bcb7a1fc00ce69c3b/290×0.jpg”,”isHappeningNowArticle”:false,”date”:{“monthDayYear”:”Aug 14, 2024″,”hourMinute”:”09:30″,”amPm”:”am”,”isEDT”:true,”unformattedDate”:1723642200000},”uri”:”https://www.forbes.com/councils/forbestechcouncil/2024/08/14/becoming-a-multi-product-business/”}},”id”:”9em1lk9cd1eo00″},{“textContent”:” Aug 14, 2024,09:15am EDT Analytic Trends Reshaping Delivery Optimization In Last-Mile Logistics”,”scope”:{“topStory”:{“index”:5,”title”:”Analytic Trends Reshaping Delivery Optimization In Last-Mile Logistics”,”image”:”https://specials-images.forbesimg.com/imageserve/6671beb282c978843a6a5fb3/290×0.jpg”,”isHappeningNowArticle”:false,”date”:{“monthDayYear”:”Aug 14, 2024″,”hourMinute”:”09:15″,”amPm”:”am”,”isEDT”:true,”unformattedDate”:1723641300000},”uri”:”https://www.forbes.com/councils/forbestechcouncil/2024/08/14/analytic-trends-reshaping-delivery-optimization-in-last-mile-logistics/”}},”id”:”3i6a864c5hl000″},{“textContent”:” Aug 14, 2024,09:00am EDT Reimagine Customer Experience, Risk And Regulation In Financial Services With AI”,”scope”:{“topStory”:{“index”:6,”title”:”Reimagine Customer Experience, Risk And Regulation In Financial Services With AI”,”image”:”https://specials-images.forbesimg.com/imageserve/63f90facfcef60e108d5759b/290×0.jpg”,”isHappeningNowArticle”:false,”date”:{“monthDayYear”:”Aug 14, 2024″,”hourMinute”:”09:00″,”amPm”:”am”,”isEDT”:true,”unformattedDate”:1723640400000},”uri”:”https://www.forbes.com/councils/forbestechcouncil/2024/08/14/reimagine-customer-experience-risk-and-regulation-in-financial-services-with-ai/”}},”id”:”40ogl34n020800″},{“textContent”:” Aug 14, 2024,08:45am EDT Are AI And BPO Natural Bedfellows?”,”scope”:{“topStory”:{“index”:7,”title”:”Are AI And BPO Natural Bedfellows?”,”image”:”https://specials-images.forbesimg.com/imageserve/66bb9ada3d7e765a91bfb70f/290×0.jpg”,”isHappeningNowArticle”:false,”date”:{“monthDayYear”:”Aug 14, 2024″,”hourMinute”:”08:45″,”amPm”:”am”,”isEDT”:true,”unformattedDate”:1723639500000},”uri”:”https://www.forbes.com/councils/forbestechcouncil/2024/08/14/are-ai-and-bpo-natural-bedfellows/”}},”id”:”4652j908q67g00″},{“textContent”:” Aug 14, 2024,08:30am EDT Quantifying The ROI Of Generative AI With A Focus On Cost-Efficiency”,”scope”:{“topStory”:{“index”:8,”title”:”Quantifying The ROI Of Generative AI With A Focus On Cost-Efficiency”,”image”:”https://specials-images.forbesimg.com/imageserve/66bb9a38819d80a518672939/290×0.jpg”,”isHappeningNowArticle”:false,”date”:{“monthDayYear”:”Aug 14, 2024″,”hourMinute”:”08:30″,”amPm”:”am”,”isEDT”:true,”unformattedDate”:1723638600000},”uri”:”https://www.forbes.com/councils/forbestechcouncil/2024/08/14/quantifying-the-roi-of-generative-ai-with-a-focus-on-cost-efficiency/”}},”id”:”cmeqd98qj7fc00″}],”breakpoints”:[{“breakpoint”:”@media all and (max-width: 767px)”,”config”:{“enabled”:false}},{“breakpoint”:”@media all and (max-width: 768px)”,”config”:{“inView”:2,”slidesToScroll”:1}},{“breakpoint”:”@media all and (min-width: 1681px)”,”config”:{“inView”:6}}]}; Innovative Data Strategies: Leveraging AI For Smarter Enterprise Operations Aug 14, 2024,10:15am EDT From Hidden Energy To High Performance: How To Engage Introverts To Optimize Workplace Dynamics”,”scope”:{“topStory”:{“index”:1,”title”:”From Hidden Energy To High Performance: How To Engage Introverts To Optimize Workplace Dynamics”,”image”:”https://specials-images.forbesimg.com/imageserve/66bb9eaf2f4db016e24d098c/290×0.jpg”,”isHappeningNowArticle”:false,”date”:{“monthDayYear”:”Aug 14, 2024″,”hourMinute”:”10:15″,”amPm”:”am”,”isEDT”:true,”unformattedDate”:1723644900000},”uri”:”https://www.forbes.com/councils/forbestechcouncil/2024/08/14/from-hidden-energy-to-high-performance-how-to-engage-introverts-to-optimize-workplace-dynamics/”}},”id”:”1e2kkfndmnmq00″},{“textContent”:” Aug 14, 2024,10:00am EDT The Best Recipes For Human Connection In Healthcare Combine Digital And Analog Ingredients”,”scope”:{“topStory”:{“index”:2,”title”:”The Best Recipes For Human Connection In Healthcare Combine Digital And Analog Ingredients”,”image”:”https://specials-images.forbesimg.com/imageserve/66bb9df512367aad52f0b0e5/290×0.jpg”,”isHappeningNowArticle”:false,”date”:{“monthDayYear”:”Aug 14, 2024″,”hourMinute”:”10:00″,”amPm”:”am”,”isEDT”:true,”unformattedDate”:1723644000000},”uri”:”https://www.forbes.com/councils/forbestechcouncil/2024/08/14/the-best-recipes-for-human-connection-in-healthcare-combine-digital-and-analog-ingredients/”}},”id”:”11c0o135oo2280″},{“textContent”:” Aug 14, 2024,09:45am EDT Overcoming The Challenges Of Using AI Chatbots In Healthcare”,”scope”:{“topStory”:{“index”:3,”title”:”Overcoming The Challenges Of Using AI Chatbots In Healthcare”,”image”:”https://specials-images.forbesimg.com/imageserve/65eb37f10a2278925e9cdb57/290×0.jpg”,”isHappeningNowArticle”:false,”date”:{“monthDayYear”:”Aug 14, 2024″,”hourMinute”:”09:45″,”amPm”:”am”,”isEDT”:true,”unformattedDate”:1723643100000},”uri”:”https://www.forbes.com/councils/forbestechcouncil/2024/08/14/overcoming-the-challenges-of-using-ai-chatbots-in-healthcare/”}},”id”:”7b3h8l7a6bl400″},{“textContent”:” Aug 14, 2024,09:30am EDT Becoming A Multi-Product Business”,”scope”:{“topStory”:{“index”:4,”title”:”Becoming A Multi-Product Business”,”image”:”https://specials-images.forbesimg.com/imageserve/65131d3bcb7a1fc00ce69c3b/290×0.jpg”,”isHappeningNowArticle”:false,”date”:{“monthDayYear”:”Aug 14, 2024″,”hourMinute”:”09:30″,”amPm”:”am”,”isEDT”:true,”unformattedDate”:1723642200000},”uri”:”https://www.forbes.com/councils/forbestechcouncil/2024/08/14/becoming-a-multi-product-business/”}},”id”:”k3o1dqc25cq80″},{“textContent”:” Aug 14, 2024,09:15am EDT Analytic Trends Reshaping Delivery Optimization In Last-Mile Logistics”,”scope”:{“topStory”:{“index”:5,”title”:”Analytic Trends Reshaping Delivery Optimization In Last-Mile Logistics”,”image”:”https://specials-images.forbesimg.com/imageserve/6671beb282c978843a6a5fb3/290×0.jpg”,”isHappeningNowArticle”:false,”date”:{“monthDayYear”:”Aug 14, 2024″,”hourMinute”:”09:15″,”amPm”:”am”,”isEDT”:true,”unformattedDate”:1723641300000},”uri”:”https://www.forbes.com/councils/forbestechcouncil/2024/08/14/analytic-trends-reshaping-delivery-optimization-in-last-mile-logistics/”}},”id”:”1qbhbq57316m00″},{“textContent”:” Aug 14, 2024,09:00am EDT Reimagine Customer Experience, Risk And Regulation In Financial Services With AI”,”scope”:{“topStory”:{“index”:6,”title”:”Reimagine Customer Experience, Risk And Regulation In Financial Services With AI”,”image”:”https://specials-images.forbesimg.com/imageserve/63f90facfcef60e108d5759b/290×0.jpg”,”isHappeningNowArticle”:false,”date”:{“monthDayYear”:”Aug 14, 2024″,”hourMinute”:”09:00″,”amPm”:”am”,”isEDT”:true,”unformattedDate”:1723640400000},”uri”:”https://www.forbes.com/councils/forbestechcouncil/2024/08/14/reimagine-customer-experience-risk-and-regulation-in-financial-services-with-ai/”}},”id”:”e8hhcl672g5k00″},{“textContent”:” Aug 14, 2024,08:45am EDT Are AI And BPO Natural Bedfellows?”,”scope”:{“topStory”:{“index”:7,”title”:”Are AI And BPO Natural Bedfellows?”,”image”:”https://specials-images.forbesimg.com/imageserve/66bb9ada3d7e765a91bfb70f/290×0.jpg”,”isHappeningNowArticle”:false,”date”:{“monthDayYear”:”Aug 14, 2024″,”hourMinute”:”08:45″,”amPm”:”am”,”isEDT”:true,”unformattedDate”:1723639500000},”uri”:”https://www.forbes.com/councils/forbestechcouncil/2024/08/14/are-ai-and-bpo-natural-bedfellows/”}},”id”:”2ofd0q1jccc800″},{“textContent”:” Aug 14, 2024,08:30am EDT Quantifying The ROI Of Generative AI With A Focus On Cost-Efficiency”,”scope”:{“topStory”:{“index”:8,”title”:”Quantifying The ROI Of Generative AI With A Focus On Cost-Efficiency”,”image”:”https://specials-images.forbesimg.com/imageserve/66bb9a38819d80a518672939/290×0.jpg”,”isHappeningNowArticle”:false,”date”:{“monthDayYear”:”Aug 14, 2024″,”hourMinute”:”08:30″,”amPm”:”am”,”isEDT”:true,”unformattedDate”:1723638600000},”uri”:”https://www.forbes.com/councils/forbestechcouncil/2024/08/14/quantifying-the-roi-of-generative-ai-with-a-focus-on-cost-efficiency/”}},”id”:”36c3imn2b65o00″}],”breakpoints”:[{“breakpoint”:”@media all and (max-width: 767px)”,”config”:{“enabled”:false}},{“breakpoint”:”@media all and (max-width: 768px)”,”config”:{“inView”:2,”slidesToScroll”:1}},{“breakpoint”:”@media all and (min-width: 1681px)”,”config”:{“inView”:6}}]}; How to use MS Excel’s powerful business intelligence tools Excel has evolved into a robust platform for data analysis and reporting, thanks to its advanced business intelligence tools: Power Query, Power Pivot, Data Model, and DAX. These powerful features can streamline your data workflows, making them more efficient and less time-consuming. In this guide, we’ll explore how to leverage these tools to create a comprehensive sales report for a fictional company, Maven Electronics, using data from various sources. Excel : Learn Power Query, Power Pivot & DAX By following the step-by-step guide outlined in this guide, you can harness the power of Excel to create a fictional comprehensive sales report for a company. However the principles and techniques discussed here can be applied to a wide range of data analysis scenarios, making Excel an indispensable tool in your data toolkit. Key Takeaways : Excel’s advanced business intelligence tools—Power Query, Power Pivot, Data Model, and DAX—can revolutionize data analysis and reporting processes. Power Query is essential for data extraction, transformation, and loading (ETL), connecting to various data sources and cleaning data. Power Pivot enables exploration and summarization of data, allowing for complex data models and advanced calculations using DAX. Data Model helps create and manage relationships between tables, integrating data from multiple sources for comprehensive analyses. DAX is a formula language used in Power Pivot for advanced data calculations and metrics, enabling sophisticated data analysis. Understanding the Key Tools Before diving into the practical application, let’s take a closer look at each of these essential tools: Power Query: This tool is indispensable for data extraction, transformation, and loading (ETL). It enables you to connect to a wide range of data sources, clean and transform the data, and load it into Excel for further analysis. Power Query’s intuitive interface and powerful features make it a go-to tool for data professionals. Power Pivot: Power Pivot empowers you to explore and summarize your data effectively. It …

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Smart Automation: AI’s Impact On Operational Efficiency

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Smart Automation: AI’s Impact On Operational Efficiency Atal Bansal is the Founder and CEO at Chetu, a global U.S.-based custom software solutions and support services provider. getty AI “smart” or “intelligent” automation seems unstoppable because it promises to save money, minimize human error, and produce faster results. The impact on workers and the workplace will be dramatic. Business Intelligence: making Smart Business Decisions Goldman Sachs reports that “two-thirds of occupations could be partially automated by AI.” McKinsey echoes this sentiment in an article: “Current generative AI and other technologies have the potential to automate work activities that absorb 60 to 70 percent of employees’ time today.” What we are seeing with smart automation is the digital equivalent of Henry Ford’s assembly line when he added a conveyor belt to bring the “developing car” to the workers, allowing Ford to build a car in 90 minutes instead of 12 hours. Given the likelihood of cost savings and increased operational efficiency, many companies are turning to smart automation. This technology could upend the job market and revolutionize the workplace by enhancing productivity. Where Will The Savings And Revenue Come From? Smart Business Intelligence Solutions with Microsoft® SQL Server Smart automation technology will impact various aspects of business operations, especially repetitive and time-intensive tasks like entering data, which are susceptible to human error. It can also generate data-driven insights and find patterns from large datasets that human workers might take days, weeks, or even longer to accomplish, if at all. State-of-the-art technologies are already automating repetitive tasks like payroll processing, data entry, inventory management, patient registration, invoicing, claims processing, and more. AI and Robotic Process Automation (RPA) have taken on everyday manual tasks that employees previously did, leaving companies with the choice of eliminating jobs or giving workers more time to focus on more productive tasks. While automation excels at repetitive tasks, it can transform business operations. For instance, rather than having workers manually count inventory, AI can automatically track inventory in real time as consumers buy products. Businesses would be able to anticipate demand for popular products and eliminate disruptions due to shortages. AI also reduces downtime because it can predict maintenance problems, allowing managers to take proactive action to minimize work interruptions. This helps produce faster turnaround times, improve resource allocations, and reduce costs. AI and machine learning (ML) algorithms also provide companies with data-driven insights. By analyzing vast amounts of data, these technologies can find patterns and trends, which leads to more informed decision-making. Previously, companies often had information overload that they struggled to analyze efficiently. Smart Implementations Of Business Intelligence That Your Real-World Smart Automation Examples Many companies have already embraced smart automation because of its potential benefits. Here are two companies that are using smart automation to save time and money: •JPMorgan Chase (JPCM) leverages AI in its COiN (COtract INtelligence) platform, which automates tasks like “interpreting loan applications.” The automated system can “process 12,000 contacts annually and save approximately 360,000 hours of review for the firm’s legal teams.” •Walmart has implemented an AI-ML-driven inventory management system that uses “historical data” and “predictive analytics” to “save time from the moment of purchase to their front door.” Smart Business Intelligence Systems For Better Processes Mitigating Risks And Maximizing Rewards To successfully implement smart automation and avoid problems with employees, companies need to plan and have a clear vision of their goals. They will need a cross-functional team that includes executives, managers, workers, and your IT team or consultant to minimize risks and to assuage the workforce on their future. Automation.com lists significant challenges that companies will have to overcome, including: •Lack of IT readiness: Many companies may not have the IT skills in house to manage smart automation integration. They will either need to upskill their IT staff, perhaps expand it or bring aboard a software solutions provider that understands their industry and the technology required. •Lack of a clear vision: This problem stems from a lack of a total strategy. To develop a clear vision, Automation.com recommends the active involvement of C-Suite executives and the creation of a centralized “Center of Excellence” that will set “standards and [provide] guidance to business units engaged in specific initiatives.” Because of the benefits of these real-world examples, many workers fear technology will take their jobs. Undoubtedly, horse-and-buggy drivers suffered tremendous job losses with the advent of cars. But with technology also came new jobs. Instead of a horse and buggy, society needed taxicab drivers. So, how will AI, a generational technology, change the workplace? McKinsey research indicates that jobs requiring “physical and manual skills” will continue their downward trend but they will still “continue to be the single largest category of skills (measured by time spent), shrinking from 31 percent of workers’ time in 2016 to 25 percent in 2030 across the United States and Western Europe.” As a result, businesses will seek workers with “higher cognitive skills,” like “creativity, critical thinking, decision making, and complex information processing.” To minimize the potential disruption to the workforce, companies, employees and governments can take proactive measures to reduce job loss. Companies can offer retraining programs to workers, and employees can seek training needed for new careers, which already existing federal programs may subsidize. Government can do its part by providing financial incentives to companies that use AI to help workers. One idea floating around Congress is a “displacement tax, levied on employers when a worker’s job is automated but the person is not retrained, which could make businesses more inclined to retrain workers.” While Congress holds hearings and proposes legislation, smart automation is already a reality in today’s business world. The question is not whether many companies will switch to smart automation but when. This technology is inevitable. It will be up to companies that want to stay competitive and their workforce to adapt to the latest industrial revolution or be left behind. Forbes Technology Council is an invitation-only community for world-class CIOs, CTOs and technology executives. Do I qualify? Can Smart Tech …

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Embed a Power BI Report Server report using an iFrame in

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Transforming Your Organization with the Power of Business Intelligence Share   Share Power BI – Data Visualization Microsoft Power Platform   Share   Email Embed a Power BI Report Server report using an iFrame in   With the ability to drive strategic initiatives, make educated decisions and extract valuable insights from raw data, business intelligence (BI) has become a key enabler for organizational success. BI has revolutionized the way businesses operate and plan for the future in this age of intense competition and rapid technological advancement. One of the most powerful business intelligence tools available, Intellicus has provided tailored solutions to over 17,000 small and large businesses, enabling them to make data-driven decisions. Understanding Business Intelligence Business Intelligence (BI) is a technology-driven process that analyzes business data to provide actionable information that informs strategic and operational decisions. It involves collecting, storing, analyzing, and visualizing data to uncover patterns, trends, and insights that drive business performance. It combines internal and external data sources into a logical framework that helps produce insights that can be put into action. Business intelligence is a valuable resource that facilitates managers, executives and stakeholders to make informed decisions. Microsoft Lists integration with Power BI Business Intelligence (BI) is a technology-driven process that analyzes business data to provide actionable information that informs strategic and operational decisions. It involves collecting, storing, analyzing, and visualizing data to uncover patterns, trends, and insights that drive business performance. Essentially, BI transforms raw data into meaningful information that empowers organizations to make data-driven decisions. The Four Pillars of Business Intelligence Data Collection and Integration: Business Intelligence starts with the compilation of information from various sources, such as social media interactions, market trends, consumer profiles and sales statistics. This data must be integrated into a single platform in order to provide a comprehensive view and analysis. Data Visualization and Analysis: BI tools analyze trends, patterns, and connections using sophisticated analytics. Visualization tools like dashboards, charts, and graphs transform complex data into understandable insights for efficient decision-making. Create a report quickly from a SharePoint list or library in the Predictive Analytics: BI doesn’t merely focus on the present; it anticipates the future. To predict future trends, predictive analytics uses machine learning models and statistical algorithms. This makes it possible for companies to plan ahead and adapt proactively. Actionable Insights: BI aims to generate actionable insights, not just reports. These insights help optimize operations, identify new opportunities, and enhance overall performance. The Transformative Impact of Business Intelligence Improved Decision Making BI tools give businesses access to real-time data, which is essential for making timely, well-informed decisions. This eliminates the need for guesswork and intuition-based decisions in favor of data-driven ones. Additionally, BI tools, like dashboards and visualizations, present data in an understandable format, making it easier for decision-makers to quickly comprehend complex information and react to changes that may have an impact on the business. Power BI Desktop OneDrive and SharePoint integration – Power BI Operational Efficiency The operational efficiency of an organization can be greatly improved using business intelligence. By automating repetitive operations, BI solutions allow employees to concentrate on more important facets of the company. Furthermore, by highlighting areas in the business process that require improvement, BI tools enable firms to get rid of bottlenecks, simplify procedures and cut expenses. Customer satisfaction and service delivery are enhanced as a result. Improved Bottom Line Business Intelligence can assist companies in increasing revenue and sales by offering insightful information about consumer behavior. With the use of BI technologies, marketers can better focus their campaigns and boost sales by analyzing customer data to find trends, buying patterns and preferences. Additionally, organizations can use business intelligence to pinpoint successful consumer categories and concentrate their marketing efforts on them. Revenue growth and improved conversion rates are possible outcomes of this focused strategy. Competitive Advantage Business Intelligence provides a competitive edge in today’s data-driven world. Through the utilization of BI tools, companies can acquire comprehensive insights into the tactics, advantages and disadvantages of their rivals and utilize this data to formulate strategic plans. Similarly, it facilitates prompt market adaptation and can assist companies in recognizing customer behavior shifts and market trends. Ethical Considerations in BI The Future of Business Intelligence Advancing technology promises a bright future for BI. AI and machine learning will enhance predictive analytics, enabling businesses to foresee trends and adapt quickly. Integrating BI with emerging technologies like IoT and blockchain will unlock new dimensions of data analysis and decision-making. Conclusion Business Intelligence has evolved from being a mere buzzword to a transformative force shaping the future of businesses. It empowers organizations to navigate complexities, capitalize on opportunities, and drive growth in an increasingly data-centric world. Embracing BI isn’t just an option; it’s a necessity for businesses aspiring to thrive in today’s competitive landscape. repeating the info from intro [SD1] This doesn’t fit right here… please change the placement [SD2] Displaying an SSRS Report in SharePoint As data structures and database systems increase in complexity, channels for data access, dissemination and collaboration have become easier to use, and the underlying data architecture is now transparent to the business user. SharePoint, an extensible enterprise collaboration platform, supports file sharing, business intelligence, social networking and content management. You can display reports from SQL Server Reporting Services, the server-based report-generation component of the SQL Server 2008 R2 suite, on the SharePoint platform. Displaying SSRS reports in SharePoint provides users with access to business information — making the most of content management features in a collaborative environment. Components of SSRS and SharePoint Integration To display SSRS reports in SharePoint, you need an SSRS installation with an instance of SharePoint using SQL Server and the Reporting Services add-in for SharePoint Products. In SQL Server, the integration process requires changing the Report Server settings to run in SharePoint Integrated mode. This mode ensures full report access and delivery to Report Server content using SharePoint. In SharePoint, you can download and install the add-in to deploy the Report Server proxy endpoints, Web parts and application pages …

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usiness Intelligence for E-commerce KeyPoint For Your Business

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True luxury is IRL E-commerce is great for a lot of things — snagging sales, stocking up on staples, buying stupid stuff we really do not need. But people’s voracious appetite for online shopping does appear to have its limits, specifically when it comes to luxury. The expectation has long been that e-commerce would revolutionize luxury, just as it has so much of retail. It killed many malls and bookstores; it made Walmart go digital; it transformed shipment and logistics operations across the globe. So why wouldn’t it disrupt such an expensive, lucrative space? It turns out we still like to buy the nicest, most expensive items in real life, in large part because we want a luxury experience when we spend the big bucks. We like to feel fancy when we shop fancy, and dropping stuff into a virtual cart on a random website in between meetings is far from most people’s definition of fancy. A recent survey from Morning Consult, a business intelligence company, explored how consumers look at luxury. It found that people generally have a strong preference for a brick-and-mortar experience when buying luxury items. Of those surveyed, 49% said they would consider buying luxury clothing or shoes from a brick-and-mortar store and 48% said the same of jewelry and watches. Thirty-nine percent said they would consider buying handbags and 40% said they would consider buying cosmetics and fragrances in a store. In every category, under 20% of consumers said they would consider making those purchases online. Gen Z was slightly more open to e-commerce and less interested in the brick-and-mortar experience, but not always by a meaningful margin. Less than 10% of all consumers said they’d buy luxury products through social media, though that number got up to the high teens for Gen Z. Consumers also said customer service was the second-most-important attribute in defining luxury shopping, right behind the quality of the product. In other words, they don’t just want to buy something special — they want to be treated special while they do it. “The No. 1 reason people like to shop in stores is because they want that experience of browsing and touching things and playing with things,” Claire Tassin, a retail and e-commerce analyst at Morning Consult, said. “Customer service, especially in a luxury environment, is such a big part of how you justify the additional expense.” Online luxury sales picked up during the pandemic but have since come back down to earth. Some important names in the fashion e-commerce space, such as Matches Fashion and Farfetch, have cratered. The German-based platform Mytheresa is doing OK — its net sales grew by 18% in the quarter ending in March — but its stock is still down by more than 80% from its IPO price in January 2021. The private companies Moda Operandi and Ssense seem to be selling merchandise and retaining customers, experts say, but the sites have a niche appeal, so that’s hardly made a dent. The overarching theme is that many consumers haven’t warmed up to shopping luxury — namely, ultra-luxe items and brands — online. We try to treat luxury with the same e-commerce experience we use for paper towels, and that just doesn’t work. Jason Goldberg, the chief commerce strategy officer at Publicis Groupe, a global marketing firm, said the jury is still out on whether e-commerce will ever take over luxury retail, but for now, there aren’t great examples of “runaway successes” in the space. There’s no single answer as to why. One reasonable hypothesis could be that people simply prefer to get high-consideration and high-priced items in store, he said. What they get out of a luxury in-store experience hasn’t been translated online. “We try to treat luxury with the same e-commerce experience we use for paper towels, and that just doesn’t work,” Goldberg said. “In general, online, we have gotten very, very good at needs-fulfillment buying, but we are sucky at discovery. Nobody goes to Amazon because they go, ‘I’m just in the mood to treat myself.’” When unplanned purchases happen online, they tend to happen through social discovery. You see something on Instagram or TikTok and then you buy it. Those types of impulse purchases are fine to make with a few clicks, but when people spend the big bucks, they want to feel a little pampered. “It is fair to say that going to a luxury store is part of the pleasure of buying a luxury product,” said Luca Solca, a senior analyst covering global luxury goods at Bernstein. “Buying online is convenient and fast. But buying in store is a pleasure.” An analysis from Bain & Company found that the share of luxury goods sold online fell to 20% in 2023, after hitting 22% in 2020 and 2021. Solca believes 20% is on the high side and said that on average, the percentage of online sales in the luxury market hovers around the mid-teens, and sometimes even lower, noting that Burberry recently told him they were at 9%. For the most part, luxury brands prefer that customers would rather shop in-store. Sure, they all have some kind of online presence — it is 2024 after all — but not all of their products are always available online, and the internet is far from the primary area of focus. For the most high-end products, there can even be waiting lists. The general aversion to e-commerce makes sense: One way to convince people you’re selling a luxury item, and price it accordingly, is to make it scarce and elusive, on top of providing the in-store luxury experience. It helps companies create and keep an aura around their brands. “Luxury brands historically have actually stayed away from being very strong in the online channel, largely to do with the fact that they didn’t want to be a cheap marketplace,” said Nora Kleinewillinghoefer, a partner in the consumer and retail practice at Kearney, a strategy and management-consulting firm. “For them, it’s about the storytelling.” Business …

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Snowflake launches Cortex Analyst, an agentic AI system for accurate data analytics

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Snowflake launches Cortex Analyst, an agentic AI system for accurate data analytics Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Snowflake is all set to deploy powerful language models for complex data work. Today, the company announced it is launching Cortex Analyst, an all-new agentic AI system for self-service analytics, in public preview. First announced during the company’s data cloud summit in June, Cortex Analyst is a fully managed service that provides businesses with a conversational interface to talk to their data. All the users have to do is ask business questions in plain English and the agentic AI system handles the rest, right from converting the prompts into SQL and querying the data to running checks and providing the required answers. Microsoft Business Intelligence with SQL – YouTube Snowflake’s head of AI Baris Gultekin tells VentureBeat that the offering uses a combination of multiple large language model (LLM) agents that work in tandem to ensure insights are delivered with an accuracy of about 90%. He claims this is far better than the accuracy of existing LLM-powered text-to-SQL offerings, including that of Databricks, and can easily accelerate analytics workflows, giving business users instant access to the insights they need for making critical decisions. Simplifying analytics with Cortex Analyst Even as enterprises continue to double down on AI-powered generation and forecasting, data analytics continues to play a transformative role in business success. Organizations extract valuable insights from historical structured data – organized in the form of tables – to make decisions across domains such as marketing and sales. However, the thing is, currently, the entire ecosystem of analytics is largely driven by business intelligence (BI) dashboards that use charts, graphs and maps to visualize data and provide information. The approach works well but can also prove quite rigid at times, with users struggling to drill deeper into specific metrics and depending on often-overwhelmed analysts for follow-up insights. SQL Server Business Intelligence Features – SQL Server Data Tools “When you have a dashboard and you see something wrong, you immediately follow with three different questions to understand what’s happening. When you ask these questions, an analyst will come in, do the analysis and deliver the answer within a week or so. But, then, you may have more follow-up questions, which may keep the analytics loop open and slow down the decision-making process,” Gultekin said. To solve this gap, many started exploring the potential of large language models that have been great at unlocking insights from unstructured data (think long PDFs). The idea was to pass raw structured data schema through the models so that they could power a text-to-SQL-based conversational experience, allowing users to instantly talk to their data and ask relevant business questions. However, as these LLM-powered offerings appeared, Snowflake noted one major problem – low accuracy. According to the company’s internal benchmarks representative of real-world use cases, when using state-of-the-art models like GPT-4o directly, the accuracy of analytical insights stood at about 51%, while dedicated text-to-SQL sections, including Databricks’ Genie, led to 79% accuracy. “When you’re asking business questions, accuracy is the most important thing. Fifty-one percent accuracy is not acceptable. We were able to almost double that to about 90% by tapping a series of large language models working closely together (for Cortex Analyst),” Gultekin noted. Top SQL Business Intelligence Software in – Reviews When integrated into an enterprise application, Cortex Analyst takes in business queries in natural language and passes them through LLM agents sitting at different levels to come up with accurate, hallucination-free answers, grounded in the enterprises’ data in the Snowflake data cloud. These agents handle different tasks, right from analyzing the intent of the question and determining if it can be answered to generating and running the SQL query from it and checking the correctness of the answer before it is returned to the user. “We’ve built systems that understand if the question is something that can be answered or ambiguous and cannot be answered with accessible data. If the question is ambiguous, we ask the user to restate and provide suggestions. Only after we know the question can be answered by the large language model, we pass it ahead to a series of LLMs, agentic models that generate SQL, reason about whether that SQL is correct, fix the incorrect SQL and then run that SQL to deliver the answer,” Gultekin explains. The AI head did not share the exact specifics of the models powering Cortex Analyst but Snowflake has confirmed it is using a combination of its own Arctic model as well as those from Mistral and Meta. How exactly does it work? To ensure the LLM agents behind Cortex Analyst understand the complete schema of a user’s data structure and provide accurate, context-aware responses, the company requires customers to provide semantic descriptions of their data assets during the setup phase. This fills a major problem associated with raw schemas and enables the models to capture the intent of the question, including the user’s vocabulary and specific jargon. “In real-world applications, you have tens of thousands of tables and hundreds of thousands of columns with strange names. For example, ‘Rev 1 and Rev 2’ could be iterations of what might mean revenue. Our customers can specify these metrics and their meaning in the semantic descriptions, enabling the system to use them when providing answers,” Gultekin added. As of now, the company is providing access to Cortex Analyst as a REST API that can be integrated into any application, giving developers the flexibility to tailor how and where their business users tap the service and interact with the results. There’s also the option of using Streamlit to build dedicated apps using Cortex Analyst as the central engine. In the private preview, about 40-50 enterprises, including pharmaceutical giant Bayer, deployed Cortex Analyst to talk to their data and accelerate analytical workflows. The public preview is expected to increase this number, especially as enterprises continue to …

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How Zebra Technologies Uses Machine Vision to Transform Production Automation

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How Zebra Technologies Uses Machine Vision to Transform Production Automation Machine vision is the focus of Machine Design’s Takeover Topic Event (Aug. 12-16, 2024). Covering the gamut of vision systems, the lineup includes case histories, trends and interviews with notable players to watch in this space. In the accompanying video, Andrew Zosel, senior vice president and general manager, Zebra Technologies, explains the vision and strategy behind recent acquisitions and the resultant solutions. Machine vision is a significant part of that investment and future growth at Zebra, said Zosel. (In parts 2 and 3 of this interview series focusing on machine vision, Zosel elaborates on the following questions: Given the advancements in technology, are we still delineating between machine vision and computer vision? How are the economics of machine vision changing? What is driving the ubiquity of machine vision?) Zebra BI Cards – A unified view of your business performance in READ MORE: 10 Considerations for Designing a Machine Vision System Research commissioned by Zebra revealed that 70% of survey respondents plan to implement computer vision within the next five years. Published in June 2024, the 2024 Manufacturing Vision Study found that 86% of manufacturing leaders noted they were struggling to keep pace with technological innovation and to securely integrate devices, sensors and technologies across their facilities and supply chains. Survey respondents comprised 1,200 C-suite executives, as well as IT and OT decision-makers across various manufacturing sectors. During a stopover at Zebra Technologies’ booth at Automate 2024, Machine Design learned from Zosel just how much Zebra is leaning into building solutions that address such vulnerabilities. The variation and number of technology applications displayed revealed the pace at which Zebra has been filling in its automation ecosystem in its effort to evolve into a full-solution enterprise that can orchestrate what manufacturers on their own cannot. Expanding Zebra Technologies: Growth in Scope and Scale Zebra BI Update Top Features Bismart Partner Power BI Those familiar with Zebra Technologies likely will associate the company with its industrial printing capabilities, including scanning, track-and-trace and mobile computing and software solutions. “Our industrial are industrial printers used throughout the world,” said Andrew Zosel, senior vice president and general manager, Zebra Technologies. “The majority of the labels that go on boxes around the world, identifying and giving items a digital voice, are printed using Zebra printers because they’re extremely reliable and rugged. And that’s where the original Zebra brand came from.” In 2014, a $3.45 billion acquisition of Motorola Solutions’ Enterprise business, which included handheld scanners and mobile computers, transformed both the scope and scale of Zebra’s portfolio, then expanding further into asset visibility, traceability, barcode scanning and barcode printing capabilities. Another transformative year was 2021. Zebra acquired Fetch Robotics, Adaptive Vision and Antuit AI that year, effectively launching their machine vision and fixed industrial scanning portfolios. The acquisition of Matrox Imaging, a manufacturer of frame grabbers, vision controllers and imaging software, followed in 2022. “We’ve invested significantly, both organically with our own internal developments coming from our existing teams, in new cameras and vision and machine vision, fixed industrial scanning products, but also made a couple of significant acquisitions over the past few years in the vision space, including, Adaptive Vision out of Europe, as well as company called Matrox out of Canada.” How to Build Spectacular Microsoft Power BI Dashboards Combining Hardware and Software for Machine Vision Solutions Despite having a relatively new position in the machine and computer vision market, bringing together advancements in robotics, machine vision, automation and digital decision-making has been a surefire way to boost stealth and agility at once. “Through these acquisitions, the biggest and most important part is still the software and the algorithms and its capabilities,” said Zosel. “That’s what we’ve focused on developing and acquiring, especially the traditional machine vision capabilities such as the deterministic algorithms or however you want to call them. And a lot of development in AI and, specifically, deep learning.” Zosel pointed out that there are multiple ways to make vision systems work. The simplest method could be to use a vision sensor or a smart camera, which might comprise an all-in-one, fully integrated lens, light and computer in one product. Zebra BI Actionable Reporting Made Easy “We offer those types of products, all the way to completely disaggregated-type systems, where multiple parts come together, such as a frame grabber board in a high-end PC with a separate set of high-end cameras with separate lighting,” Zosel said. “It’s the same basic architecture of lighting, lensing, processing and compute. But it depends on the integration as well as the performance requirements of the application.” From Zebra’s perspective, said Zosel, the intent is to offer all the above. “Zosel’s platform advantage is that it has that scalability to offer everything from basic, simplified, lug-and-play-type product, all the way up to very complex, high-end systems doing either extremely high resolution or extremely high-speed processing, or both,” he said. Long-Term Strategies: Automation and Augmentation in Manufacturing Fundamentally, Zebra wants to help our customers find ways to meet the challenges they encounter, said Zosel. Microsoft-certified custom visuals for Power BI Zebra BI Packaging sustainability is a case in point. Some of Zebra’s customers are moving away from plastics by opting for thinner plastics and paper-based packaging. Zebra is helping them with inspections and helping customers along their sustainability evolution by providing products and platforms that are scalable. explained Zosel. For instance, a customer may start with 2D machine vision, but “plans for scalability to 3D and for using more advanced AI. A lot of our systems and efforts are around creating that scalability and providing that path for our customers,” Zosel explained. Zebra’s study found that over the next five years, manufacturing leaders plan to implement various automation technologies, including robotics (65%), machine vision (66%), radio frequency identification (RFID) (66%), and fixed industrial scanners (57%). The study highlighted that the adoption of these automation solutions is driven by several factors: the need to assign high-value tasks to the workforce …

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Qlik Introduces Qlik Answers to Transform Unstructured Data into Business Insights

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Qlik Introduces Qlik Answers to Transform Unstructured Data into Business Insights PHILADELPHIA, July 30, 2024 — Qlik, a global leader in data integration, analytics, and artificial intelligence (AI), today announced the general availability of Qlik Answers, its newest self-service AI solution designed to help organizations harness the power of AI by removing the risk, embracing the complexity, and scaling the impact of AI. Qlik Answers transforms unstructured data into actionable results through generative AI, offering full explainability—a common obstacle in enterprise AI adoption. Qlik Answers combines generative AI with Qlik’s trusted data analytics capabilities to deliver precise, contextually relevant results from extensive unstructured data sources. This solution enables customers to seamlessly integrate AI into their existing Qlik business intelligence workflows, ensuring efficient use of resources and avoiding technical debt. “Qlik Answers is designed to help businesses use their unstructured data to make better decisions,” said Brendan Grady, Executive Vice President and General Manager of Qlik’s Analytics Business Unit. “This solution integrates our strengths in analytics and data with generative AI, providing users with precise answers to their questions. With Qlik Answers, we are offering a tool that supports the direct translation of unstructured data into tangible business outcomes.” What is Business Intelligence? A Complete Guide Qlik Key Benefits of Qlik Answers: AI-Powered Responses: Delivers relevant answers from curated knowledge bases, enhancing the utility of unstructured data. Rapid Deployment: Offers a ready-to-use solution, reducing the time and complexity of deployment. Transparency: Ensures full explainability with answers linked to their source documents, fostering trust and consistency. Broad Connectivity: Integrates with existing systems and platforms, using Qlik’s enterprise connectors to access a variety of unstructured data sources. Enhanced Efficiency: Supports real-time business activities and decisions, enabling users to quickly access relevant information. “We’re excited to see Qlik focus on unlocking business outcomes from unstructured data with Qlik Answers,” said Stefan Heinz, Senior BI & Analytics Manager at Bystronic Group. “The full explainability and integration with Qlik’s trusted analytics platform promise to drive responsible and effective use of AI at an enterprise level.” Qlik Answers combines technologies to deliver reliable and efficient access to unstructured data. At its core, the solution uses Retrieval Augmented Generation (RAG), which merges retrieval-based and generative AI methods. This technique dynamically retrieves relevant documents from pre-indexed knowledge bases and generates precise, contextually relevant responses. By leveraging modern generative models, Qlik Answers can interpret and synthesize information from diverse sources, providing users with concise and actionable answers. Business Intelligence Tools: Reviews of Top BI Software To ensure seamless integration with existing systems, Qlik Answers utilizes Qlik’s trusted enterprise connectors. These connectors allow the solution to access a wide range of unstructured data sources without requiring extensive data movement or reconfiguration. This approach not only simplifies deployment but also maintains data integrity and accessibility. Additionally, Qlik Answers is designed with full explainability and transparency in mind. All AI-generated answers are traceable back to their original sources, enabling users to verify and trust the information presented. Qlik Answers is also self-service oriented, allowing business users to deploy and manage AI-driven knowledge assistants without needing extensive technical expertise or custom development. This ease of use ensures that organizations can quickly benefit from the solution, supporting real-time business activities and enhancing decision-making processes. To learn more about Qlik Answers and how it can improve your business operations by unlocking the potential of unstructured data, visit Qlik Answers. About Qlik Business Intelligence Reporting: A Complete Guide Qlik Qlik converts complex data landscapes into actionable insights, driving strategic business outcomes. Serving over 40,000 global customers, our portfolio provides advanced, enterprise-grade AI/ML and data management. We excel in data integration and governance, offering comprehensive solutions that work with diverse data sources. Intuitive analytics from Qlik uncover hidden patterns, empowering teams to address complex challenges and seize new opportunities. Our AI/ML tools, both practical and scalable, lead to better decisions, faster. As strategic partners, our platform-agnostic technology and expertise make our customers more competitive. Source: Qlik Qlik Introduces Qlik Answers to Transform Unstructured Data into Business Insights PHILADELPHIA, July 30, 2024 — Qlik, a global leader in data integration, analytics, and artificial intelligence (AI), today announced the general availability of Qlik Answers, its newest self-service AI solution designed to help organizations harness the power of AI by removing the risk, embracing the complexity, and scaling the impact of AI. Qlik Answers transforms unstructured data into actionable results through generative AI, offering full explainability—a common obstacle in enterprise AI adoption. What is Business Intelligence? A Complete Guide Qlik Qlik Answers combines generative AI with Qlik’s trusted data analytics capabilities to deliver precise, contextually relevant results from extensive unstructured data sources. This solution enables customers to seamlessly integrate AI into their existing Qlik business intelligence workflows, ensuring efficient use of resources and avoiding technical debt. “Qlik Answers is designed to help businesses use their unstructured data to make better decisions,” said Brendan Grady, Executive Vice President and General Manager of Qlik’s Analytics Business Unit. “This solution integrates our strengths in analytics and data with generative AI, providing users with precise answers to their questions. With Qlik Answers, we are offering a tool that supports the direct translation of unstructured data into tangible business outcomes.” Key Benefits of Qlik Answers: AI-Powered Responses: Delivers relevant answers from curated knowledge bases, enhancing the utility of unstructured data. Rapid Deployment: Offers a ready-to-use solution, reducing the time and complexity of deployment. Transparency: Ensures full explainability with answers linked to their source documents, fostering trust and consistency. Broad Connectivity: Integrates with existing systems and platforms, using Qlik’s enterprise connectors to access a variety of unstructured data sources. Enhanced Efficiency: Supports real-time business activities and decisions, enabling users to quickly access relevant information. What is Business Intelligence? A Complete Guide Qlik “We’re excited to see Qlik focus on unlocking business outcomes from unstructured data with Qlik Answers,” said Stefan Heinz, Senior BI & Analytics Manager at Bystronic Group. “The full explainability and integration with Qlik’s trusted analytics platform promise to drive responsible and effective use of AI at an enterprise level.” Qlik Answers combines technologies to …

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Talent Intelligence: Unlocking The Power Of Multidimensional Data

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Talent Intelligence: Unlocking The Power Of Multidimensional Data Joanna Riley, CEO & cofounder of Censia. Striving for a more just and efficient global economy through better talent data and technology. getty In the age of data-driven decision-making, the significance of structured, multidimensional data cannot be overstated. This data type forms the backbone of advanced AI systems, facilitating nuanced insights and predictive analytics essential for modern business strategies, including talent management. Microsoft Business Intelligence – Business Excellence Data-Driven Recruiting And Talent Management Companies that harness data in talent management have seen remarkable improvements in both efficiency and insights into workforce dynamics. For instance, incorporating data-driven strategies in recruiting has been shown to significantly enhance the quality of the workforce, increase productivity, and support unbiased hiring decisions. Workable’s comprehensive guide on data-driven recruiting emphasizes the importance of choosing the right data and metrics, collecting data efficiently, and acting on this data to improve hiring processes. The Rise Of Multidimensional Data in HR Multidimensional data isn’t a new concept. Most business intelligence (finance, consumer behavior, etc.) relies on structured data across multiple dimensions to gain profound insight and determine future strategy. HR has always been the big exception because HR has traditionally been one-dimensional (a linear resume of qualifications matched to a linear list of job requirements), often inaccurate or messy (outdated profiles, multiple job titles meaning similar things, etc.), and limited only the candidate and the role—not, for instance, other important factors such as the industry or the organization. SQL Server Reporting Services Integration with Power BI – RADACAD By cleaning and structuring this talent data and introducing new layers of information (company size, revenue levels, company events, industry and more), the insight that AI can derive from this data grows immensely. The deployment of structured, multidimensional data in talent management allows organizations to gain a deep and holistic understanding of their workforce, encompassing diverse dimensions such as people, jobs, skills, and industries. This comprehensive dataset supports AI-driven solutions, enabling organizations to navigate complexities with precision and agility. MyHRfuture highlights how data-driven HR impacts recruitment and talent management by measuring key talent acquisition data points for greater impact, supporting workforce planning, and facilitating training and development. Inferring Skills And Bridging Gaps The capacity of structured data to infer skills is invaluable in talent acquisition and workforce planning, where accurate skill assessment is crucial. Analyzing patterns and contextual information allows AI-powered systems to uncover latent skills, providing a broader understanding of individuals’ capabilities. Advanced Options: Getting Data into Power BI from SQL Server by Transformative Impact Of AI In Talent Management The convergence of structured data and AI heralds a new era in talent management, with organizations increasingly turning to AI-driven solutions to streamline processes and decision-making. Korn Ferry’s insights into the telecom sector, for example, reveal the critical role of strategy and talent in organizational success, emphasizing the importance of learning agility as a predictor of long-term leadership potential. To further underscore the transformative power of data in talent management, it’s essential to recognize the nuanced ways in which organizations leverage this data to foster a culture of continuous learning and adaptability. A data-driven approach streamlines recruitment and talent development and underpins strategic workforce planning and development initiatives. According to research by Deloitte, integrating data analytics into HR practices enables organizations to forecast talent needs, identify skill gaps, and optimize resource allocation more effectively. This strategic alignment ensures that talent management efforts are about filling positions and building a resilient, skilled workforce capable of driving long-term business growth. Moreover, adopting AI and data analytics in talent management extends beyond operational efficiency to enhancing the employee experience. Organizations can address individual career aspirations and skill development needs by personalizing learning and development opportunities, thereby increasing engagement and retention. This personalized approach, grounded in data, signifies a shift from traditional, one-size-fits-all HR practices to more dynamic, responsive strategies that value and cultivate individual talent. In this rapidly evolving landscape, harnessing and interpreting multidimensional data becomes a critical competitive advantage, enabling organizations to navigate the complexities of the modern workforce with agility and insight. Common Pitfalls When Adopting Talent Intelligence Several common pitfalls occur when organizations adopt this type of technology. The first is that system implementations are prone to failure. According to a Deloitte study, 70% of digital transformation efforts are considered less than successful, and organizations require three years to start competing in digital markets. Working with APIs or native integrations to upgrade current systems is one way to avoid the financial, time and engagement loss caused by this. The other big pitfall is not understanding the data well enough. It is essential to ask how the data is collected, cleaned and structured. If a provider runs new algorithms on old data or limited source data, you’ll get biased and unreliable results. And finally, you’ll want to understand the legal restrictions you might face in your field. Several regions have already restricted the use of AI in HR decision-making, so you’ll want to make sure that you deploy it in a way that assists, not replaces, your team and their decisions. Embracing A Data-Driven Future As organizations undergo digital transformation, the importance of leveraging structured, multidimensional data and AI will continue to grow. McKinsey’s guide on building a data-driven strategy highlights the need for an integrated approach to data sourcing, model building, and organizational transformation tailored to the company’s desired business impact. In conclusion, structured, multidimensional data is the cornerstone of AI-driven talent management, enabling organizations to unlock insights, optimize processes, and drive strategic outcomes. By leveraging advanced analytics and AI technologies, organizations can chart a course toward a data-driven future where talent becomes a true differentiator in driving business success. Forbes Technology Council is an invitation-only community for world-class CIOs, CTOs and technology executives. Do I qualify? What generative AI can do for sysadmins Raise your hand if you enjoy generating config files from scratch. Anyone? Anyone? Format complexity, baroque syntax, variations in syntax between software versions, environment-specific requirements, validation, security concerns, …

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Understanding Business Intelligence

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Transforming Your Organization with the Power of Business Intelligence Share   Share reasons to use Microsoft Power BI Stitch   Share   Email Power BI – Data Visualization Microsoft Power Platform   With the ability to drive strategic initiatives, make educated decisions and extract valuable insights from raw data, business intelligence (BI) has become a key enabler for organizational success. BI has revolutionized the way businesses operate and plan for the future in this age of intense competition and rapid technological advancement. One of the most powerful business intelligence tools available, Intellicus has provided tailored solutions to over 17,000 small and large businesses, enabling them to make data-driven decisions. Understanding Business Intelligence Business Intelligence (BI) is a technology-driven process that analyzes business data to provide actionable information that informs strategic and operational decisions. It involves collecting, storing, analyzing, and visualizing data to uncover patterns, trends, and insights that drive business performance. It combines internal and external data sources into a logical framework that helps produce insights that can be put into action. Business intelligence is a valuable resource that facilitates managers, executives and stakeholders to make informed decisions. Beyond Numbers: The Strategic Insights of Power BI in Business Business Intelligence (BI) is a technology-driven process that analyzes business data to provide actionable information that informs strategic and operational decisions. It involves collecting, storing, analyzing, and visualizing data to uncover patterns, trends, and insights that drive business performance. Essentially, BI transforms raw data into meaningful information that empowers organizations to make data-driven decisions. The Four Pillars of Business Intelligence Data Collection and Integration: Business Intelligence starts with the compilation of information from various sources, such as social media interactions, market trends, consumer profiles and sales statistics. This data must be integrated into a single platform in order to provide a comprehensive view and analysis. Data Visualization and Analysis: BI tools analyze trends, patterns, and connections using sophisticated analytics. Visualization tools like dashboards, charts, and graphs transform complex data into understandable insights for efficient decision-making. Power BI – Data Visualization Microsoft Power Platform Predictive Analytics: BI doesn’t merely focus on the present; it anticipates the future. To predict future trends, predictive analytics uses machine learning models and statistical algorithms. This makes it possible for companies to plan ahead and adapt proactively. Actionable Insights: BI aims to generate actionable insights, not just reports. These insights help optimize operations, identify new opportunities, and enhance overall performance. The Transformative Impact of Business Intelligence Improved Decision Making BI tools give businesses access to real-time data, which is essential for making timely, well-informed decisions. This eliminates the need for guesswork and intuition-based decisions in favor of data-driven ones. Additionally, BI tools, like dashboards and visualizations, present data in an understandable format, making it easier for decision-makers to quickly comprehend complex information and react to changes that may have an impact on the business. Power BI – Data Visualization Microsoft Power Platform Operational Efficiency The operational efficiency of an organization can be greatly improved using business intelligence. By automating repetitive operations, BI solutions allow employees to concentrate on more important facets of the company. Furthermore, by highlighting areas in the business process that require improvement, BI tools enable firms to get rid of bottlenecks, simplify procedures and cut expenses. Customer satisfaction and service delivery are enhanced as a result. Improved Bottom Line Business Intelligence can assist companies in increasing revenue and sales by offering insightful information about consumer behavior. With the use of BI technologies, marketers can better focus their campaigns and boost sales by analyzing customer data to find trends, buying patterns and preferences. Additionally, organizations can use business intelligence to pinpoint successful consumer categories and concentrate their marketing efforts on them. Revenue growth and improved conversion rates are possible outcomes of this focused strategy. Competitive Advantage Business Intelligence provides a competitive edge in today’s data-driven world. Through the utilization of BI tools, companies can acquire comprehensive insights into the tactics, advantages and disadvantages of their rivals and utilize this data to formulate strategic plans. Similarly, it facilitates prompt market adaptation and can assist companies in recognizing customer behavior shifts and market trends. Ethical Considerations in BI The Future of Business Intelligence Advancing technology promises a bright future for BI. AI and machine learning will enhance predictive analytics, enabling businesses to foresee trends and adapt quickly. Integrating BI with emerging technologies like IoT and blockchain will unlock new dimensions of data analysis and decision-making. Conclusion Business Intelligence has evolved from being a mere buzzword to a transformative force shaping the future of businesses. It empowers organizations to navigate complexities, capitalize on opportunities, and drive growth in an increasingly data-centric world. Embracing BI isn’t just an option; it’s a necessity for businesses aspiring to thrive in today’s competitive landscape. repeating the info from intro [SD1] This doesn’t fit right here… please change the placement [SD2] Talent Intelligence: Unlocking The Power Of Multidimensional Data Joanna Riley, CEO & cofounder of Censia. Striving for a more just and efficient global economy through better talent data and technology. getty In the age of data-driven decision-making, the significance of structured, multidimensional data cannot be overstated. This data type forms the backbone of advanced AI systems, facilitating nuanced insights and predictive analytics essential for modern business strategies, including talent management. Data-Driven Recruiting And Talent Management Companies that harness data in talent management have seen remarkable improvements in both efficiency and insights into workforce dynamics. For instance, incorporating data-driven strategies in recruiting has been shown to significantly enhance the quality of the workforce, increase productivity, and support unbiased hiring decisions. Workable’s comprehensive guide on data-driven recruiting emphasizes the importance of choosing the right data and metrics, collecting data efficiently, and acting on this data to improve hiring processes. The Rise Of Multidimensional Data in HR Multidimensional data isn’t a new concept. Most business intelligence (finance, consumer behavior, etc.) relies on structured data across multiple dimensions to gain profound insight and determine future strategy. HR has always been the big exception because HR has traditionally been one-dimensional …

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op Business Intelligence and Analytics Tools Organizations

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‘Justice Intelligence’ Startup Darrow Expands Plaintiff-Finding Service to Mass Arbitrations On Wednesday, New York and Tel Aviv-based legal tech startup Darrow announced the addition of mass arbitration to its PlaintiffLink service. Publicly launched in February 2024, PlaintiffLink helps firms connect with and review potential plaintiffs for cases. The development and expansion of PlaintiffLink was likely supported in part by the startup’s $35 million Series B funding round, which it announced in September 2023. Marketing itself as a justice intelligence platform, Darrow essentially looks to be a business development tool for litigation teams. Some of its offerings use generative AI to analyze and scan public data, such as SEC filings and consumer complaints, to find viable class action and litigation opportunities. ‘Justice Intelligence’ Startup Darrow Expands Plaintiff-Finding Service to Mass Arbitrations ‘s Top Business Intelligence and Analytics Tools Organizations On Wednesday, New York and Tel Aviv-based legal tech startup Darrow announced the addition of mass arbitration to its PlaintiffLink service. Publicly launched in February 2024, PlaintiffLink helps firms connect with and review potential plaintiffs for cases. The development and expansion of PlaintiffLink was likely supported in part by the startup’s $35 million Series B funding round, which it announced in September 2023. Marketing itself as a justice intelligence platform, Darrow essentially looks to be a business development tool for litigation teams. Some of its offerings use generative AI to analyze and scan public data, such as SEC filings and consumer complaints, to find viable class action and litigation opportunities. Healthcare Business Intelligence Market Size to Reach USD 27.63 Billion By 2032, With a Growing CAGR of 14% | Research by SNS Insider SNS Insider pvt ltd Top Business Intelligence Trends In The rise in electronic health records (EHRs) and the integration of big data analytics in healthcare have further propelled the adoption of BI solutions. Pune, Aug. 14, 2024 (GLOBE NEWSWIRE) — Healthcare Business Intelligence Market Size & Share: “According to SNS Insider Research, The Healthcare Business Intelligence (BI) Market Size was valued at US$ 9.0 Billion in 2023 and is expected to reach US$ 27.63 Billion by 2032 and grow at a CAGR of 14.0% over the forecast period 2024-2032.” Business Intelligence (BI) is well-funded in the modern software-as-a-service market. BI utilizes big data to analyze various aspects of business, uncover new profit centers, and simulate potential developments. The market growth is driven by the increasing number of patient registries, as well as technological advancements in the pharmaceutical sector. An article published by Frontiers in August 2022 highlights patient registries as a crucial data source for healthcare practices, drug utilization, and clinical outcomes. Patient registries provide epidemiological data, and standards of care, and help in overcoming patient confidentiality issues, particularly for rare diseases. This anticipated growth in patient registries is also expected to drive the uptake of health business intelligence. Top Business Intelligence Trends for — Broscorp The healthcare BI market is growing rapidly due to the government’s initiative to increase the adoption of Electronic Health Records (EHR) and the proliferation of patient registries along with big data usage in healthcare. According to an article published by the Biomedical Journal of Scientific & Technical Research in 2021, the government is digitalizing healthcare services by incorporating EHR for better patient data management and to facilitate coordination among healthcare providers. The government is also introducing national-level policies, such as the National Digital Health Blueprint, to ensure a single digital health record across India. Additionally, institutions like Tata Memorial Hospital and Max Hospitals Private Limited have implemented electronic medical records (EMR) systems and plan to transition to EHR systems. The widespread implementation of BI across the healthcare industry, alongside its associated benefits, is expected to further drive market expansion. Get a Sample Report of Healthcare Business Intelligence (BI) Market@ https://www.snsinsider.com/sample-request/2089 Major Players Listed in this Report are: Healthcare Business Intelligence (BI) Market Report Scope: Report Attributes Details Market Size in 2023 US$ 9.0 Billion Market Size by 2032 US$ 27.63 Billion CAGR CAGR of 14.0% From 2024 to 2032 Base Year 2023 Forecast Period 2024-2032 Historical Data 2020-2022 Key Regional Coverage North America (US, Canada, Mexico), Europe (Eastern Europe [Poland, Romania, Hungary, Turkey, Rest of Eastern Europe] Western Europe] Germany, France, UK, Italy, Spain, Netherlands, Switzerland, Austria, Rest of Western Europe]), Asia Pacific (China, India, Japan, South Korea, Vietnam, Singapore, Australia, Rest of Asia Pacific), Middle East & Africa (Middle East [UAE, Egypt, Saudi Arabia, Qatar, Rest of Middle East], Africa [Nigeria, South Africa, Rest of Africa], Latin America (Brazil, Argentina, Colombia, Rest of Latin America) Key Growth Drivers •The Increasing Integration of EHR Systems Across Healthcare Facilities Is Driving the Demand for Business Intelligence (BI) Tools that can Analyze Large Volumes of Patient Data, Improve Decision-Making, and Enhance Patient Outcomes.•The Shift Towards Value-Based Care and Personalized Medicine has Led to an Increased Focus on Healthcare Analytics. Bi Tools are Crucial in Analyzing Patient Data, Predicting Trends, And Enabling More Effective Management of Resources and Treatments. Do you have any specific queries or need any customization research or data on Healthcare Business Intelligence (BI) Market, Make an Enquiry Now@ https://www.snsinsider.com/enquiry/2089 Segmentation Dynamics In 2023, healthcare payers held the largest revenue share at 40%. Market growth is being driven by the increasing need to enhance provider networks, the implementation of various healthcare business intelligence (BI) tools to reduce operational costs, and rising competition among payers. Additionally, the growing emphasis on increasing memberships and minimizing fraud claims is pushing payers to adopt BI solutions to manage their operational expenses more effectively. During the forecast period, the healthcare manufacturers segment is expected to experience significant market growth. The large number of pharmaceutical and medical device manufacturers in both developed and emerging economies has been contributing to rapid revenue generation. Meanwhile, healthcare manufacturers are increasingly turning to SaaS software to reduce maintenance and development costs, which is anticipated to further drive the market. Furthermore, customer analytics tools such as direct marketing and Customer Relationship Management (CRM) dashboards are helping various vendors, including hospitals, government bodies, and employers’ private exchangers, …

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Power BI vs Tableau: Which is The Better BI Tool

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Salesforce unit Tableau to exit former headquarters in Seattle Tableau will give up its former headquarters in north Seattle, abandoning more than 110,000 square feet of offices by Lake Union. The data analytics software firm owned by San Francisco-based Salesforce will not renew its lease at the Fremont Lake Union Center at 837 North 34th Street, in Fremont, the Seattle Times reported. The lease expires at the end of this month. Salesforce, a cloud-based sales software company, bought Tableau in 2019 for $15.7 billion. Ryan Aytay, CEO for Tableau, is based in San Francisco. Power BI vs Tableau: Which is The Better BI Tool More than a year ago, the firm said that it would get rid of Tableau-occupied offices as it met a broad tech industry slump by laying off thousands of workers. Despite a plan to shed more than 450,000 square feet of office leases around Seattle, Salesforce will retain a beachhead in the Puget Sound market, according to the Times. The firm will keep its offices at 929 Tower in Bellevue, which it considers a second hub outside San Francisco, according to the Times. Tableau workers will stay tied to local Salesforce offices. “Tableau is a critical and thriving part of our business and we remain fully committed to our Seattle-based home and employees,” an unidentified Salesforce spokesperson told the Times in an email. “Employees have access to a vibrant office environment at our Data1, Plaza and Bellevue offices where they can connect with colleagues and customers in the area.” What is Business Intelligence? Tableau The Plaza office includes a small location in Fremont that Salesforce renewed this year. Salesforce’s decision to exit Tableau’s former headquarters at the 112,500-square-foot building came up in an earnings call this month by landlord Kilroy Realty, based in Los Angeles. The three-building campus contains 423,800 square feet. “As a reminder, we continue to anticipate three large move-outs totaling 350,000 square feet in the back half of the year,” Elliott Trencher, chief financial officer for Kilroy, told analysts on the call. “Salesforce in Seattle will leave in the third quarter and Capital One and Microsoft in the Bay Area are expected to move out in the fourth quarter.” Trencher said interest has picked up for the Fremont building and that Kilroy expects to lease it before long. Several unidentified real estate insiders believe Nvidia, a computer chip powerhouse based in Silicon Valley, will take at least a floor in the building. Business intelligence: A complete overview Tableau A Fremont lease could help a softening Seattle office submarket from getting worse, according to the Times. Office vacancy in the South Lake Union submarket, which includes Fremont, has climbed by more than 2 percent since last year to 12.1 percent, according to Colliers. Two years ago, the measure of empty offices was less than 5 percent. — Dana Bartholomew Read more Goldman Sachs pays $175M for Seattle’s Skyglass Tower Slow multifamily market in Seattle jolts awake with two $100M deals Big tech office leases cluster in the Seattle market 10 Best Tech Strategies for Small Businesses in the U.S. to Boost Efficiency Share   Share   Share   Email   Upgrading efficiency is a top priority for small businesses in the U.S., and software technology gives a wealth of solutions to achieve this goal. From cloud computing and automation to cybersecurity and mobile solutions, the right tech strategies can help small businesses streamline operations, reduce costs, and improve overall performance. By implementing these ten tech strategies, small businesses can position themselves for success in a competitive market, ensuring they operate at peak efficiency. One of the most effective ways to enhance efficiency in a small business is by adopting cloud computing solutions. Cloud-based tools allow businesses to store data, run applications, and access information from anywhere with an internet connection. This eliminates the need for expensive on-site servers and IT infrastructure, which can be costly to maintain. Additionally, cloud computing enables real-time collaboration among team members, regardless of their location. Whether it’s sharing files, working on documents simultaneously, or managing projects, cloud-based tools like Google Workspace or Microsoft 365 make it easier for teams to work together efficiently. Automate Routine Tasks with Software: Automation is a game-changer for small businesses looking to boost efficiency. By automating routine tasks, such as invoicing, payroll, and email marketing, businesses can save time and reduce the risk of human error. This frees up valuable time for employees to focus on more strategic activities that drive growth. Tools like QuickBooks for accounting, Zapier for workflow automation, and Mailchimp for email marketing can significantly reduce the time spent on administrative tasks. With automation, small businesses can operate more smoothly and efficiently, without the need for additional staff. Use Customer Relationship Management (CRM) Software: Customer relationship management (CRM) software is essential for small businesses that want to streamline their sales and customer service processes. A good CRM system allows businesses to track customer interactions, manage leads, and monitor sales pipelines in one central location. By using CRM software, small businesses can ensure that no customer inquiry or lead falls through the cracks. This not only improves customer satisfaction but also boosts sales efficiency by helping sales teams prioritize their efforts. Popular CRM solutions like Salesforce, HubSpot, and Zoho CRM are tailored to meet the needs of small businesses. Leverage Project Management Tools: Managing multiple projects and tasks can be challenging, especially for small businesses with limited resources. Project management tools can help businesses stay organized, track progress, and meet deadlines more effectively. Tools like Trello, Asana, and Monday.com offer intuitive interfaces that allow teams to create task lists, assign responsibilities, and monitor project timelines. With these tools, small businesses can ensure that projects are completed on time and within budget, leading to increased efficiency and productivity. Invest in Cybersecurity Solutions: In an increasingly digital world, cybersecurity is a critical concern for small businesses. A data breach or cyberattack can have devastating consequences, including financial losses and damage to reputation. Investing in …

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Microsoft Dynamics vs. Salesforce: Comparison 2024 Salesforce vs. Microsoft Dynamics 365 Overview

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Microsoft Dynamics vs. Salesforce: Comparison 2024 Salesforce vs. Microsoft Dynamics 365 Overview Salesforce’s Sales Hub and Microsoft Dynamics 365 Sales are similar products that offer most of the CRM features you expect to find in standalone CRM software. We compare these two as the primary CRM offerings from both providers, though other products exist for marketing, customer service and other work management functions. Salesforce is a highly customizable CRM that teams can configure for almost any business need, while Microsoft Dynamics 365 serves as a centralized place for customer data for teams that already use it. Salesforce vs. Microsoft Dynamics 365 Comparison Power BI – Data Visualization Microsoft Power Platform In our survey, CRM users cited workflow automation, contact activity tracking and task management as the most important CRM features. We used these insights to guide us as we tested Salesforce and Microsoft Dynamics 365. There are some notable differences between the platforms’ contact and sales pipeline management approaches, but they offer similar sales assistants powered by artificial intelligence (AI). Microsoft Dynamics is also commonly known as an enterprise resource planning (ERP) tool. Source: MarketWatch Guides Features Overview Salesforce and Microsoft Dynamics 365 offer very similar feature lists for CRM. However, Salesforce offers more native features for marketing automation. Microsoft Dynamics does not include any email-related features in the Sales product, which puts it at a disadvantage compared to many other CRM platforms. Our Salesforce Review and Microsoft Dynamics 365 Review offer more in-depth analyses of these platforms’ top features. Salesforce Sales CloudMicrosoft Dynamics 365 SalesMonthly Price Range$20-$500/user$65-$135/userContact Management✅✅Workflow Automation✅✅Lead Management✅✅Lead Scoring✅✅Pipeline Management✅✅Sales Forecasting✅✅Email Marketing Automation✅❌Analytics✅✅AI-Powered Tools✅(Einstein)✅(Copilot AI)Phone Support✅✅Live Chat✅✅ Contact Management Power BI – Data Visualization Microsoft Power Platform Microsoft Dynamics 356’s contact profiles are well-organized and easy to navigate, following a similar structure to many popular CRM systems. When we tested the platform, the profiles stood out as one of the more user-friendly features. We could add notes and easily edit contact information without searching through settings. Aside from the contact profiles, Microsoft Dynamics’s approach to the overall contact list is unique. The different Excel-powered charts allowed us to get quick insights into the customer data on the platform. For instance, we could create a drill-down chart of contacts by their city in just a few clicks. While testing the platform, we imagined plenty of use cases for these quick insights and charts. By comparison, Salesforce keeps its analytics separate from the customer profiles, which is the typical setup for customer data within most CRM platforms. The Salesforce customer profiles display contact information alongside upcoming tasks logged in the platform, related opportunities, deals and any quotes a customer has received. These capabilities make it simple for sales teams to refer to any information they need about a customer. View of a sample customer profile in Salesforce. Sales Pipeline Management Combine Microsoft and Power BI Microsoft Power BI Microsoft Dynamics’s approach to the sales pipeline is unique compared to other CRM systems we’ve tested. By default, the platform organizes deals in various charts highlighting the sales funnel stages. Most platforms include a list of open deals or, most often, a Kanban-style view of the different deal stages, with movable deal cards sorted into various boards indicating their status. This could be a major plus for teams that don’t love a Kanban board. However, for teams looking for streamlined and straightforward opportunity management, it could overcomplicate how team members view the sales process in the platform. Salesforce’s default configuration for the sales pipeline is a more traditional deal tracking board with the option for a list view. We liked that dragging and dropping the deal cards with automatic deal value calculations at the top of each stage in the pipeline was easy. Sample view of the Salesforce sales pipeline. AI-Powered Features Microsoft Power BI – What Is It and What to Use It For? – TPG The Both Microsoft and Salesforce include AI assistants in their CRM products. Microsoft’s Copilot AI and Salesforce’s Einstein AI are helpful chatbots that users can interact with, similar to ChatGPT. These AI-powered tools also power forecasting, predictive scoring and other advanced features. Microsoft just rolled out Copilot AI last year, and it is helpful for tasks like generating a summary of an open deal; however, it struggled to understand natural language requests. AI tools across the CRM space are very new, and we expect they will learn and improve over time to help streamline CRM strategies. Pricing Microsoft Dynamics 365 and Salesforce offer similar CRM pricing structures, so comparing their pricing is straightforward. Microsoft’s primary sales product has a lower starting price than Salesforce’s Sales Cloud, and Salesforce has a much more comprehensive price range, with the top Einstein 1 Sales plan costing $500 per user per month. Combine Microsoft and Power BI Microsoft Power BI However, both platforms offer “starter kits”  at lower prices with various features across the board. In Salesforce’s case, these are the Starter Suite and Pro Suite, which include top features from the Sales, Marketing and Service Clouds. The Microsoft Dynamics Business Central product is similar, with key features from Dynamics 365 Sales and Service, emphasizing core business functions and finance rather than marketing. Salesforce Pricing Our Salesforce Pricing Guide offers a more in-depth look into Salesforce’s pricing structure. ProductPlanPriceSalesforce Sales CloudProfessional $80/user/month Enterprise $165/user/monthUnlimited$330/user/month Einstein 1 Sales$500/user/month Small Business (Combines Sales, Marketing and Service features) Starter Suite$25/user/monthPro Suite$100/user/month Microsoft Dynamics Pricing ProductPlanPriceMicrosoft Dynamics 365 SalesProfessional $65/user/month Enterprise $95/user/monthPremium$135/user/month Microsoft Dynamics 365 Business CentralEssentials$70/monthPremium$100/month Integrations Salesforce is difficult to beat when it comes to native integrations, and it’s easy to search for any specific third-party apps you need to connect with the Appexchange marketplace. The Microsoft Dynamics 365 CRM is excellent as part of a Microsoft ecosystem, but connecting it with outside tools is more complicated.Competitor software like Google tools won’t be available, and we were also surprised to see that Zapier integration was not an option for Dynamics 365 in the Microsoft AppSource marketplace. However, both platforms offer an API for developers. PlatformSalesforce Sales Cloud Microsoft Dynamics 365 SalesGmail✅❌Google Calendar✅❌Mailchimp✅✅Facebook …

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What is the difference between reporting and Business Intelligence

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Threat actors leverage cybersecurity gaps from M&A – new report Threat actors leverage cybersecurity gaps from M&A – new report | Insurance Business America Insurance News Threat actors leverage cybersecurity gaps from M&A – new report Reliance on software vendors brings new vulnerabilities Insurance News By Grant Funtila Threat actors have evolved their tactics in 2024 to exploit business and technology consolidation. According to Resilience’s mid-year 2024 cyber risk report, the surge in mergers and acquisitions (M&A) and the increasing reliance on major software vendors has provided new opportunities for threat actors. Business Intelligence Reports – MyMotionCalendar The report released by Resilience is based on data from its threat intelligence team and insurance claims portfolio to analyze trends in hacking activity and industry responses. Key findings include: Ransomware remained the leading cause of loss since January 2023, with 64% of ransomware-related claims resulting in a loss. The financial severity of claims related to ransomware attacks increased 411% from 2022 to 2023. Ransomware attacks on Change Healthcare and CDK Global, as well as the PanOS zero-day vulnerability, represented 2024’s top claim-driving events so far. Of all claims received since January 2023, 35% were due to vendor data breaches or ransom attacks exploiting a third-party vendor. This includes notable vulnerabilities associated with Ivanti software. In 2024, that number is already 40% and expected to grow. The BlackCat hacking group—responsible for the Change Healthcare cyber incident—entered 2024 with an existing track record: in 2023, the group topped the list of most costly attacks, with BlackCat attacks accounting for 18% of covered losses from ransomware. Two sectors saw the largest increases in claims in 2024: manufacturing and construction. Manufacturing rose from 15.2% of all claims in 2023 to 41.7% of all claims in 2024; while construction rose from 6.1% of 2023 claims to 25.0% of 2024 claims. The report also noted that global M&A deal volume grew 36% in the first quarter of 2024. The interconnected nature of modern business systems and the acquisition of new companies have only amplified the impact of these cyberattacks. Similarly, the consolidation of technology, where industries rely on single suppliers for critical services, can lead to catastrophic consequences if a breach occurs. Impacted organizations typically face business interruption and lost revenue in addition to potential ransom payments. What is the difference between reporting and Business Intelligence “Major attacks like the ones on Change Healthcare, CDK Global, and AT&T have been wreaking havoc and making headlines, but they also remind us that we’re facing a new status quo. Increased vendor interdependence and M&A activity have created an unprecedented opportunity for hackers, with far more points of failure and potential for human error,” said Vishaal “V8” Hariprasad, co-founder and CEO of Resilience. Resilience’s global head of claims, Tom Egglestone, stressed that cybersecurity can no longer be treated as a mere budget item. Instead, he highlighted a risk-centric approach, especially one where security strategies are aligned with the financial implications of cyber threats. Do you have something to say about Resilience’s findings and the link between M&A and cybersecurity vulnerabilities? Please share your comments below. Related Stories Please enable JavaScript to view the comments powered by Disqus. Keep up with the latest news and events Join our mailing list, it’s free! Business Intelligence Reporting Preset This page requires JavaScript 3 Artificial Intelligence Stocks with Promising Applications InvestorPlace – Stock Market News, Stock Advice & Trading Tips Artificial intelligence made headlines in 2024, with stocks in the space appreciating tremendously. Amid the growing adoption of technology, many companies are shelling out billions to advance their AI capabilities. According to a recent report by CompTIA, 22% of companies aim to pursue AI integration across their products. The report also found that 33% of companies are working with some type of AI application to improve their service and product delivery. By riding this wave, investors can be sure to see gains over the medium term. Artificial intelligence is still in its infancy, which means these stocks hold great potential. Numerous technology applications are still being explored. For instance, it could have use cases in defense, chatbots and data analysis. Consider these three companies if you want to invest in solid artificial intelligence stocks with great promise in returns. Let’s examine why these three stocks stand out. Nvidia (NVDA) Nvidia (NASDAQ:NVDA) started as a graphics card company. However, its chips quickly became popular in the artificial intelligence sector. Since then, the company has been working to produce faster and more efficient chips for the industry. CEO Jensen Huang has played an important role in this transformation, making Nvidia the go-to company for the best artificial intelligence chips. Thus far, Huang’s efforts have paid off and Nvidia has been the top artificial intelligence stock of 2024. Despite sliding by double digits in the past few weeks, NVDA is still up 116.42% year. Over the past 12 months, the stock has gained 129.52%. Looking at the EPS, Nvidia has continued to maintain phenomenal growth. In the last quarterly results, it reported an EPS of $5.98, a 629% year-over-year increase. Its current trailing 12-month price-to-earnings ratio of 59.59 is relatively high. However, this high valuation is justifiable if it continues to maintain earnings growth. Additionally, the company has a robust buyback program and pays out dividends. In its first quarter fiscal 2025 results, it announced it had increased payouts by 150% to 10 cents per share. Over the past five years, NVDA has been one of the best-performing stocks, rising over 2500%. The great stock performance, increased dividend payouts and the rising adoption of AI make Nvidia one of the best artificial intelligence stocks to own in August 2024. Arista Networks (ANET) Arista Networks (NYSE:ANET) is a leading software provider in the cloud computing and data center industries. The rise of artificial intelligence has been a huge boost for the company. All artificial intelligence models require massive amounts of data, which is where Arista comes in. It is helping to create networks that can adapt to the changing needs …

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Finance’s biggest firms are considering how AI might impact jobs

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Artificial Intelligence Tech 2024-08-13T18:31:05Z Replika lets you buy an AI girlfriend or boyfriend — and its average user age is surprising Replika CEO Eugenia Kuyda said the app’s users are “mostly 35-plus and super engaged.” Some people have formed deep bonds with their AI companions. Tech 2024-08-13T13:40:11Z AI and security concerns fuel a shift to on-premises IT infrastructure as companies seek more control of data AI, data privacy, and security concerns are pushing companies to adopt hybrid IT infrastructure that combines on-prem hardware with cloud services. TARGIT – BI Survey The US and some of its allies just pulled off a milestone first by letting AI target enemies like it would in a war The trial, led by the US Army, was the first time AUKUS members used AI in a simulated battlefield environment akin to a real conflict. It looks like Sam Altman is dropping hints about OpenAI’s next big thing Strawberry aims to give OpenAI’s tech autonomous internet navigation and deep research capabilities, according to a Reuters report. TARGIT Software Reviews, Demo & Pricing – 3 in 4 workers say AI reduced productivity and increased workloads, survey finds A recent survey found that workers were spending more time reviewing AI content or learning how to use the tools. Everything we know about how finance giants are adopting AI, from Goldman Sachs to Blackstone Finance’s biggest firms are considering how AI might impact jobs, how it could cut costs, and reduce “grunt work.” TARGIT Decision Suite LinkedIn Tech 2024-08-07T18:58:33Z OpenAI’s brain drain isn’t a great look for Sam Altman OpenAI is losing key members like cofounder John Schulman to rivals, adding to challenges in the AI market and trust issues for CEO Sam Altman. A CMO tried Google’s AI tools and stopped using many of them The executive has been using Google’s Performance Max, Smart Bidding, and Gemini. These are their findings. TARGIT Decision Suite Business Intelligence & Analytics Tool AI was supposed to revolutionize customer service. Morgan Stanley’s interns aren’t buying it. The bank surveys its interns on their technology habits and views. What they said about AI customer service is another warning for the tech industry. Meta’s AI keeps pretending to be me and giving my phone number out to strangers A weird tech glitch with the new Meta AI chatbot highlights the thorny legal and ethical issues facing AI today. The GenAI jitters: Is there enough demand for $1 trillion in AI spending? When you build a lot of new AI data centers, it’s very hard to undo that if end-demand turns out to be weaker than expected. Tech 2024-08-02T21:09:15Z Google, Netflix, and OpenAI execs are hosting a fundraiser for Kamala Harris Kamala Harris has friends in high-tech places as execs from Google, Netflix, and OpenAI organize a fundraiser for the Democratic presidential hopeful. The New York Times and other top news sites block OpenAI’s new SearchGPT web crawling bot The startup launched a new search engine last week. Some top publishers have already made clear that they want nothing to do with the new product. Tech 2024-08-02T18:00:24Z Meta, Amazon, and Alphabet are spending big in a battle to dominate AI. It might not end well. Big Tech giants concede that AI is costing huge sums of money with little return on investment right now. But they say it’s worth the risk. Why workers who lose their jobs to AI might not stay unemployed for long The AI boom won’t follow the same path as the US’s manufacturing decline, an economist says. Workers will have a better chance of finding new jobs. Play Icon A triangle pointing right. It indicates that this type of media can be played or that the linked content is playable. CMO Insider 2024-08-01T20:59:29Z Play icon A circle surrounding a triangle pointing right. It indicates, “this type of media can be played.” How American Express, DoorDash, JP Morgan Chase, and more are using AI to improve business CMOs from major brands reveal how their companies are using AI and its positive impact on the business. Reddit has acquired an AI startup to beef up its ad business in a deal worth around $40 million Reddit hopes its purchase of Memorable AI will boost the performance of advertising on its platform. Meta scraps celebrity AI chatbots after less than a year, despite reportedly paying top creators as much as $5 million Meta is shifting focus to its new AI Studio, which lets users create their own AI bots. Amazon has discussed a ‘DoctorAI’ tool to automate routine healthcare tasks In a leaked document from late 2023, Amazon’s One Medical team discussed their most disruptive ideas. One was a ‘DoctorAI’ large language model. A CIO canceled a Microsoft AI deal. The reason should worry the entire tech industry. The pharmaceutical company IT exec said Microsoft’s Copilot AI tools were not worth the extra money. Business Intelligence vs. Competitive Intelligence: What’s the Difference? Business Intelligence vs. Competitive Intelligence: An Overview Competitive intelligence is the act of understanding a company’s industry and industry rivals so the company can make better business decisions. Business intelligence refers to the tools, software, and systems that play a vital role in the strategic planning process of a company. Key Takeaways Competitive intelligence is the outward-focused analysis of a business’s competitors to identify advantages and potential strategies.In contrast, business intelligence is the inward-focused evaluation of the business’s own data, which can help improve efficiency and growth.Combining both business and competitive intelligence provides a framework for action that can help increase stability, profitability, and success. Competitive Intelligence Competitive intelligence is an acute type of market research conducted by a business. With competitive intelligence, businesses use the same type of tactics utilized when conducting market research; however, the focus is to answer more target questions rather than review broad market trends. Competitive intelligence can include the knowledge of a competitor’s operations or business partners, as well as a deeper understanding of the industry in which a company operates. Competitive intelligence is any material …

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Microsoft Power BI: A Powerful Cloud Based Business Analytics Service

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Free Business Email: 7 Legit Ways to Get Free Addresses All businesses need branded email addresses, and small businesses and startups often need it to be as cheap as possible. To help, we rounded up the best legitimate ways to get a free business email address. All are secure and credible for professional use. Some are completely free, while others include free email accounts with products like domains, web hosting, and office software. Best free business email addresses: Zoho Mail Best for Gmail business email: Google Workspace Best for a free email address with cheap domain purchase: IONOS Best website builder with multiple free emails: Hostinger Best for work email on your Outlook domain: Microsoft 365 Best for free business emails with advanced security: Proton Mail Best for free temporary business email: Internxt Free business email solutions at a glance ProviderNumber of emailsConditionStorage per userFree domainLearn more Zoho MailUp to 5 usersHave existing domain5GB✘Visit Zoho Mail Google Workspace1Subscribe to Google Workspace starting $6/mo30GB–5TB✘Visit Google Workspace IONOS1Purchase domain and web hosting2GB–50GB✔Visit IONOS HostingerUp to 100Purchase site builder plan1GB per mailbox✔Visit Hostinger Microsoft 365Up to 25Subscribe to Microsoft 365 starting $6/mo15GB✘Visit Microsoft 365 Proton Mail1Use a Proton Mail domain1GB✘Visit Proton Mail Internxt1Expires after 3 hoursN/A✔Visit Internxt More storage available in paid plans View presentation mode on Windows devices – Power BI Microsoft Learn Zoho Mail: Best free business email addresses Pros and cons ProsCons Up to 5 free business email addresses on your domainUser-friendly and integrates with Zoho’s marketing, sales, and productivity toolsPassword protection and expiry date with SecurePassPaid plans from $1/mo & Workspace plans with productivity tools from $3/moMust purchase a domain separatelyOver 5 users requires paid planMinimal storage (5GB per user)Fairly small 25MB attachment limitFree version doesn’t support internet messaging access protocol (IMAP)/ post office protocol (POP)/Active Sync (i.e., can’t use in other email apps) Key features of free Zoho Mail Create up to five free business emails on a domain you own. Strong security and privacy capabilities. Clean and modern interface for easy use. 5GB storage for each email account. Easy integration with Zoho One, Zoho CRM (customer relationship management), Books and Zoho’s other cloud-based business, sales and marketing tools. Scalable Workplace plans with business communication, collaboration and productivity tools comparable to Google Workspace or Microsoft 365. If you’re looking for free webmail for business, Zoho Mail takes one of the top spots as you can legitimately get up to five free business email accounts — provided you own a business domain name (e.g., yourbusiness.com) — no strings attached. Plus, it integrates seamlessly with more than 40 other Zoho apps for sales, marketing, project management, accounting and more, many of which also have free plans. Zoho Mail is the best option for free email addresses since you do not have to purchase a plan to get free emails. You’ll access your free Zoho Mail accounts through the Zoho Mail app, which is available on both desktop and mobile devices. Zoho Mail has intuitive, familiar-feeling interfaces on desktop and mobile. Image: Zoho Microsoft Power BI: A Powerful Cloud Based Business Analytics Service However, plans don’t come with a domain name, so you’ll have to purchase one separately to use Zoho Mail for free, costing roughly $15–$20 per year, depending on the domain registrar. The only other drawback here is that you can only receive and send emails through the Zoho Mail app — meaning that you can’t add your email accounts to other apps, like Gmail or Outlook, without a paid plan. However, the platform’s free forever email hosting plan can be used as long as you have your own domain, and you don’t exceed five email accounts. How to set up Zoho Mail Here’s how to set up a business account, free on Zoho Mail, in six easy steps: Export entire reports to PowerPoint – Power BI Microsoft Learn Register a domain name if you haven’t already. Visit Zoho Mail and enter your name, input an email address or phone number, and set a password to create your account. Scroll down below the pricing table to find the free plan option and click “Sign Up for Free On the next screen, click “remind me later” to delay the setup of multi-factor authentication (or follow the steps to set it up now). Next, choose either “Use my own domain” or “Get a domain” (you can also purchase a domain through Zoho during sign-up). Verify your domain to prove its validity. You’ll do this by adding Zoho name server records where your domain is hosted. Update your mail records to officially receive emails from your domain. Zoho provides a one-click verification process for IONOS and GoDaddy domains. Navigate the Zoho Mail landing page to see its pricing plans. Add a custom domain for free. Verify your domain easily through the TXT record method. In the free-forever plan, you can create up to five business email addresses with 5GB of storage for each user. It comes with web email access, free mobile apps, and one of the best security systems for email hosting. Plus, you can scale with more email features and other productivity tools like Zoho Workplace or Zoho Projects as your business grows. Try it for free today. Google Workspace: Best for Gmail business email Pros and cons ProsCons 14-day free trialComplete business productivity suite (Docs, Sheets, Slides, Meet, Calendar, Gmail, and more)Strong cloud security featuresClean interface, and easy to useAutomatic translation featuresCommitment-free, month-to-monthRequires a Google Workspace plan and a domainNo end-to-end email encryption (try Proton Mail for the most security)Domain isn’t included Key features of free Gmail business emails Free business email and up to 30 email aliases from a Google Workspace subscription. Tons of ready-made integrations with other business tools. Comes with the full Google Workspace suite (with Google Docs, Slides, Sheets, etc.). Beginner-friendly email interface. Scalable plans with ample email storage (the most of any provider on this list). Add your other accounts to see all your emails in one place. Gmail features offer a ton of …

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Snowflake launches Cortex Analyst, an agentic AI system for accurate data analytics

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Snowflake launches Cortex Analyst, an agentic AI system for accurate data analytics Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Snowflake is all set to deploy powerful language models for complex data work. Today, the company announced it is launching Cortex Analyst, an all-new agentic AI system for self-service analytics, in public preview. First announced during the company’s data cloud summit in June, Cortex Analyst is a fully managed service that provides businesses with a conversational interface to talk to their data. All the users have to do is ask business questions in plain English and the agentic AI system handles the rest, right from converting the prompts into SQL and querying the data to running checks and providing the required answers. Power BI – Data Visualization Microsoft Power Platform Snowflake’s head of AI Baris Gultekin tells VentureBeat that the offering uses a combination of multiple large language model (LLM) agents that work in tandem to ensure insights are delivered with an accuracy of about 90%. He claims this is far better than the accuracy of existing LLM-powered text-to-SQL offerings, including that of Databricks, and can easily accelerate analytics workflows, giving business users instant access to the insights they need for making critical decisions. Simplifying analytics with Cortex Analyst Even as enterprises continue to double down on AI-powered generation and forecasting, data analytics continues to play a transformative role in business success. Organizations extract valuable insights from historical structured data – organized in the form of tables – to make decisions across domains such as marketing and sales. However, the thing is, currently, the entire ecosystem of analytics is largely driven by business intelligence (BI) dashboards that use charts, graphs and maps to visualize data and provide information. The approach works well but can also prove quite rigid at times, with users struggling to drill deeper into specific metrics and depending on often-overwhelmed analysts for follow-up insights. Power BI – Data Visualization Microsoft Power Platform “When you have a dashboard and you see something wrong, you immediately follow with three different questions to understand what’s happening. When you ask these questions, an analyst will come in, do the analysis and deliver the answer within a week or so. But, then, you may have more follow-up questions, which may keep the analytics loop open and slow down the decision-making process,” Gultekin said. To solve this gap, many started exploring the potential of large language models that have been great at unlocking insights from unstructured data (think long PDFs). The idea was to pass raw structured data schema through the models so that they could power a text-to-SQL-based conversational experience, allowing users to instantly talk to their data and ask relevant business questions. However, as these LLM-powered offerings appeared, Snowflake noted one major problem – low accuracy. According to the company’s internal benchmarks representative of real-world use cases, when using state-of-the-art models like GPT-4o directly, the accuracy of analytical insights stood at about 51%, while dedicated text-to-SQL sections, including Databricks’ Genie, led to 79% accuracy. “When you’re asking business questions, accuracy is the most important thing. Fifty-one percent accuracy is not acceptable. We were able to almost double that to about 90% by tapping a series of large language models working closely together (for Cortex Analyst),” Gultekin noted. Power BI – Data Visualization Microsoft Power Platform When integrated into an enterprise application, Cortex Analyst takes in business queries in natural language and passes them through LLM agents sitting at different levels to come up with accurate, hallucination-free answers, grounded in the enterprises’ data in the Snowflake data cloud. These agents handle different tasks, right from analyzing the intent of the question and determining if it can be answered to generating and running the SQL query from it and checking the correctness of the answer before it is returned to the user. “We’ve built systems that understand if the question is something that can be answered or ambiguous and cannot be answered with accessible data. If the question is ambiguous, we ask the user to restate and provide suggestions. Only after we know the question can be answered by the large language model, we pass it ahead to a series of LLMs, agentic models that generate SQL, reason about whether that SQL is correct, fix the incorrect SQL and then run that SQL to deliver the answer,” Gultekin explains. The AI head did not share the exact specifics of the models powering Cortex Analyst but Snowflake has confirmed it is using a combination of its own Arctic model as well as those from Mistral and Meta. How exactly does it work? Power BI – Data Visualization Microsoft Power Platform To ensure the LLM agents behind Cortex Analyst understand the complete schema of a user’s data structure and provide accurate, context-aware responses, the company requires customers to provide semantic descriptions of their data assets during the setup phase. This fills a major problem associated with raw schemas and enables the models to capture the intent of the question, including the user’s vocabulary and specific jargon. “In real-world applications, you have tens of thousands of tables and hundreds of thousands of columns with strange names. For example, ‘Rev 1 and Rev 2’ could be iterations of what might mean revenue. Our customers can specify these metrics and their meaning in the semantic descriptions, enabling the system to use them when providing answers,” Gultekin added. As of now, the company is providing access to Cortex Analyst as a REST API that can be integrated into any application, giving developers the flexibility to tailor how and where their business users tap the service and interact with the results. There’s also the option of using Streamlit to build dedicated apps using Cortex Analyst as the central engine. In the private preview, about 40-50 enterprises, including pharmaceutical giant Bayer, deployed Cortex Analyst to talk to their data and accelerate analytical workflows. The public preview is expected to increase …

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How Business Intelligence in ERP Can Improve Your Company Go

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Business Intelligence and Analytics Fusion Introduces New AI-Powered Scenario Simulation and Intelligence Suite Fusion Risk Management (Fusion), a provider of cloud-based operational resilience, business continuity, and risk management solutions, is releasing its new Scenario Simulation and Intelligence suite—enabling companies to simulate thousands of possible scenarios against their resilience plans and strategies to identify points of weakness at scale. Posted August 14, 2024 Ridge Security Enhances Proactive Exposure Management with RidgeBot 4.3.3 Ridge Security Technology Inc. is releasing RidgeBot version 4.3.3, introducing a powerful integration that enhances proactive exposure management for organizations—combining RidgeBot’s automated vulnerability detection and validation capabilities with leading vulnerability management (VM) solutions. Posted August 14, 2024 How Business Intelligence in ERP Can Improve Your Company Go DBTA Readers’ Choice Award Winners (2024) With the recent AI boom, data is being created and generated at unprecedented rates. Per the latest estimates, 402.74 million terabytes of data are created each day. This increase calls for a paradigm shift in company efficiency—quickly enabling enterprises to uncover quality insights and effective organization of this data. To help organizations progress along their data-driven journeys, each year, DBTA presents the Readers’ Choice Awards, which provide the opportunity to recognize companies whose products have been selected by the experts—our readers! Posted August 13, 2024 Rubrik and Mandiant Collaborate to Drive Robust Threat Recovery and Response Rubrik, Inc., the Zero Trust Data Security Company, is unveiling a new partnership with Mandiant, a cyber defense provider which is now part of Google Cloud. This collaboration—which is shaped by three key pillars—serves to help enterprises quickly control their risk against diverse, rampant threats. Posted August 13, 2024 Business Intelligence in ERP (The Role of BI Tools in ERP) Cribl Partners with 4 Key Players in the Security Space Cribl, the data engine for IT and security, announced four key partnerships with Vijilan, Anvilogic, Securonix, and Anomali, to address growing enterprise IT and security data management challenges. Cribl Stream and Edge products are now integrated with Anvilogic’s innovative security information and event management (SIEM) platform, providing security operations centers (SOC) with best-in-class flexibility, cost efficiency, and control over their security data, according to the vendors. Posted August 12, 2024 Global Edge Data Center Market Predicted to Cross $300B By 2026 Analysis by global real estate consulting firm JLL predicts edge IT infrastructure and data centers will become a $317 billion market globally by 2026, representing a 107% growth from the 2020 market valued at $153 billion. Globally, the growth of edge computing will be influenced by not only the emergence of several technology-based megatrends but also the need for faster data transfer and high computation, as well as factors such as policies and regulations. Posted August 12, 2024 How Business Intelligence in ERP Can Improve Your Company Go IBM Provides Generative AI-Powered Cybersecurity Assistant IBM is adding generative AI capabilities to its managed Threat Detection and Response Services utilized by IBM Consulting analysts to advance and streamline security operations for clients. Built on IBM’s watsonx data and AI platform, the new IBM Consulting Cybersecurity Assistant is designed to accelerate and improve the identification, investigation, and response to critical security threats, according to the company. Posted August 12, 2024 Upgrading the DBMS: Poking a House of Cards Regular readers of this column are aware that I am a proponent of getting rid of bad database standards. But sometimes it can be difficult to determine if a particular standard is bad, or just a lot of trouble to comply with! Well, what am I getting at here? Have you ever been thwarted by a global fiat from management? Of course you have, we all have. But I’m talking about a particular type of dictum from above. Something like this: “New software installations, including updated versions and releases, must be supported by current tooling before they can be installed.” Posted August 12, 2024 How Business Intelligence in ERP Can Improve Your Company Go Advanced Info Service Selects Oracle Alloy to Build Thailand’s Locally Owned and Operated Hyperscale Cloud Advanced Info Service (AIS), one of Thailand’s largest mobile network operators, announced plans to deploy Oracle Alloy and launch AIS Cloud, the country’s first locally owned and operated hyperscale cloud. Oracle Alloy will provide AIS’ customers and all enterprises in Thailand, including the public sector, access to more than 100 Oracle Cloud Infrastructure (OCI) services, including the latest artificial intelligence (AI) capabilities. Posted August 12, 2024 Supply Wisdom and Fusion Collaborate to Enhance Third-Party Risk Management Effectiveness Supply Wisdom, the market’s full-stack, real-time risk intelligence SaaS platform powered by artificial intelligence (AI), is partnering with Fusion Risk Management (Fusion), a leading provider of cloud-based operational resilience, business continuity, and risk management solutions—offering Fusion customers a seamless integration for enhanced third-party risk management (TPRM) and operational risk and resilience program needs. Posted August 09, 2024 BI ERP solutions: Why integrate Power BI into your ERP software Cloudera Boosts Metadata Management with New Solution Capabilities Cloudera, a hybrid platform for data, analytics and AI, is introducing two key enhancements to its metadata management solutions, boosting open interoperability within the open data lakehouse and addressing increasing demands for security and governance across the entire data lifecycle. Posted August 08, 2024 Navigating The Good and Bad Of AI Despite the overwhelming promise of AI, its rapid proliferation has been accompanied by some unwanted side effects, including a dramatic uptick in cyberattacks— particularly social engineering attacks like phishing, which have grown 1,265% since late 2022. As a result, organizations across industries are faced with an ever-evolving challenge: balancing the positive use cases associated with AI, such as automated monitoring and streamlined workflows, with its very real risks. Posted August 08, 2024 Fuzzy Wuzzy Was a Bear, Or Was He/She a Diagram? Everyone likes a diagram. Diagrams often help make an issue clear—except when they don’t. There are plenty of diagrams that really do not convey information to the viewer, and that is a sad state for any diagram to find itself in. Maybe, just maybe, not everyone has the …

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Oracle Business Intelligence (BI) Platform

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Transforming Your Organization with the Power of Business Intelligence Share   Share Oracle Business Intelligence (BI) Platform – BI / DW Insider   Share   Email Hyperion Solutions – Wikipedia   With the ability to drive strategic initiatives, make educated decisions and extract valuable insights from raw data, business intelligence (BI) has become a key enabler for organizational success. BI has revolutionized the way businesses operate and plan for the future in this age of intense competition and rapid technological advancement. One of the most powerful business intelligence tools available, Intellicus has provided tailored solutions to over 17,000 small and large businesses, enabling them to make data-driven decisions. Understanding Business Intelligence Business Intelligence (BI) is a technology-driven process that analyzes business data to provide actionable information that informs strategic and operational decisions. It involves collecting, storing, analyzing, and visualizing data to uncover patterns, trends, and insights that drive business performance. It combines internal and external data sources into a logical framework that helps produce insights that can be put into action. Business intelligence is a valuable resource that facilitates managers, executives and stakeholders to make informed decisions. Oracle BI Hyperion EPM Integration Overview Business Intelligence (BI) is a technology-driven process that analyzes business data to provide actionable information that informs strategic and operational decisions. It involves collecting, storing, analyzing, and visualizing data to uncover patterns, trends, and insights that drive business performance. Essentially, BI transforms raw data into meaningful information that empowers organizations to make data-driven decisions. The Four Pillars of Business Intelligence Data Collection and Integration: Business Intelligence starts with the compilation of information from various sources, such as social media interactions, market trends, consumer profiles and sales statistics. This data must be integrated into a single platform in order to provide a comprehensive view and analysis. Data Visualization and Analysis: BI tools analyze trends, patterns, and connections using sophisticated analytics. Visualization tools like dashboards, charts, and graphs transform complex data into understandable insights for efficient decision-making. Predictive Analytics: BI doesn’t merely focus on the present; it anticipates the future. To predict future trends, predictive analytics uses machine learning models and statistical algorithms. This makes it possible for companies to plan ahead and adapt proactively. Actionable Insights: BI aims to generate actionable insights, not just reports. These insights help optimize operations, identify new opportunities, and enhance overall performance. The Transformative Impact of Business Intelligence Improved Decision Making BI tools give businesses access to real-time data, which is essential for making timely, well-informed decisions. This eliminates the need for guesswork and intuition-based decisions in favor of data-driven ones. Additionally, BI tools, like dashboards and visualizations, present data in an understandable format, making it easier for decision-makers to quickly comprehend complex information and react to changes that may have an impact on the business. Operational Efficiency The operational efficiency of an organization can be greatly improved using business intelligence. By automating repetitive operations, BI solutions allow employees to concentrate on more important facets of the company. Furthermore, by highlighting areas in the business process that require improvement, BI tools enable firms to get rid of bottlenecks, simplify procedures and cut expenses. Customer satisfaction and service delivery are enhanced as a result. Improved Bottom Line Business Intelligence can assist companies in increasing revenue and sales by offering insightful information about consumer behavior. With the use of BI technologies, marketers can better focus their campaigns and boost sales by analyzing customer data to find trends, buying patterns and preferences. Additionally, organizations can use business intelligence to pinpoint successful consumer categories and concentrate their marketing efforts on them. Revenue growth and improved conversion rates are possible outcomes of this focused strategy. Competitive Advantage Business Intelligence provides a competitive edge in today’s data-driven world. Through the utilization of BI tools, companies can acquire comprehensive insights into the tactics, advantages and disadvantages of their rivals and utilize this data to formulate strategic plans. Similarly, it facilitates prompt market adaptation and can assist companies in recognizing customer behavior shifts and market trends. Ethical Considerations in BI The Future of Business Intelligence Advancing technology promises a bright future for BI. AI and machine learning will enhance predictive analytics, enabling businesses to foresee trends and adapt quickly. Integrating BI with emerging technologies like IoT and blockchain will unlock new dimensions of data analysis and decision-making. Conclusion Business Intelligence has evolved from being a mere buzzword to a transformative force shaping the future of businesses. It empowers organizations to navigate complexities, capitalize on opportunities, and drive growth in an increasingly data-centric world. Embracing BI isn’t just an option; it’s a necessity for businesses aspiring to thrive in today’s competitive landscape. repeating the info from intro [SD1] This doesn’t fit right here… please change the placement [SD2] Mitratech Named an Advanced Solution in Low/No Code Workflow Automation by Hyperion Research, an Epiq Company AUSTIN, Texas, Aug. 14, 2024 (GLOBE NEWSWIRE) — Mitratech, a global compliance technology leader for legal, risk, and HR teams, is excited to announce that it has been named an advanced solution of low/no code workflow automation in Hyperion Research’s MarketView™ Report. Evaluating both quantitative and qualitative characteristics that define current market demands and comprising 100 pages, this report provides in-depth coverage of key solution components, leading solution providers, and practical guidance for the workflow automation journey. “This feedback and recognition reflect our commitment to delivering innovative solutions that adapt to the unique challenges of our diverse customer base,” says Chris Iconos, General Manager at Mitratech. “We’re intentionally building the market’s most integrated, agile platform for helping an organization’s core departments across legal, risk & compliance, and human resources better automate, collaborate, and elevate results with renewed cross-functional transparency.” Noting the uptick in in-house legal automation use cases (like the legal intake portal) and subsequent entry of AI-enabled features, the advanced solution providers were evaluated based on their attention to usability, maturity, implementation and support, and viability and vision. Mitratech’s workflow technology (TAP) was recognized for its market-leading collaboration features, empowering “citizen developers” to work on the same workflow at …

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Meta scraps celebrity AI chatbots after less than a year

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Artificial Intelligence Tech 2024-08-13T18:31:05Z Replika lets you buy an AI girlfriend or boyfriend — and its average user age is surprising Replika CEO Eugenia Kuyda said the app’s users are “mostly 35-plus and super engaged.” Some people have formed deep bonds with their AI companions. Tech 2024-08-13T13:40:11Z AI and security concerns fuel a shift to on-premises IT infrastructure as companies seek more control of data AI, data privacy, and security concerns are pushing companies to adopt hybrid IT infrastructure that combines on-prem hardware with cloud services. Business Intelligence PowerPoint Template PPT Templates The US and some of its allies just pulled off a milestone first by letting AI target enemies like it would in a war The trial, led by the US Army, was the first time AUKUS members used AI in a simulated battlefield environment akin to a real conflict. It looks like Sam Altman is dropping hints about OpenAI’s next big thing Strawberry aims to give OpenAI’s tech autonomous internet navigation and deep research capabilities, according to a Reuters report. Business Intelligence PowerPoint Template 3 in 4 workers say AI reduced productivity and increased workloads, survey finds A recent survey found that workers were spending more time reviewing AI content or learning how to use the tools. Everything we know about how finance giants are adopting AI, from Goldman Sachs to Blackstone Finance’s biggest firms are considering how AI might impact jobs, how it could cut costs, and reduce “grunt work.” Business Intelligence PowerPoint Template and Google Slides Tech 2024-08-07T18:58:33Z OpenAI’s brain drain isn’t a great look for Sam Altman OpenAI is losing key members like cofounder John Schulman to rivals, adding to challenges in the AI market and trust issues for CEO Sam Altman. A CMO tried Google’s AI tools and stopped using many of them The executive has been using Google’s Performance Max, Smart Bidding, and Gemini. These are their findings. AI was supposed to revolutionize customer service. Morgan Stanley’s interns aren’t buying it. The bank surveys its interns on their technology habits and views. What they said about AI customer service is another warning for the tech industry. Meta’s AI keeps pretending to be me and giving my phone number out to strangers A weird tech glitch with the new Meta AI chatbot highlights the thorny legal and ethical issues facing AI today. The GenAI jitters: Is there enough demand for $1 trillion in AI spending? When you build a lot of new AI data centers, it’s very hard to undo that if end-demand turns out to be weaker than expected. Tech 2024-08-02T21:09:15Z Google, Netflix, and OpenAI execs are hosting a fundraiser for Kamala Harris Kamala Harris has friends in high-tech places as execs from Google, Netflix, and OpenAI organize a fundraiser for the Democratic presidential hopeful. The New York Times and other top news sites block OpenAI’s new SearchGPT web crawling bot The startup launched a new search engine last week. Some top publishers have already made clear that they want nothing to do with the new product. Tech 2024-08-02T18:00:24Z Meta, Amazon, and Alphabet are spending big in a battle to dominate AI. It might not end well. Big Tech giants concede that AI is costing huge sums of money with little return on investment right now. But they say it’s worth the risk. Why workers who lose their jobs to AI might not stay unemployed for long The AI boom won’t follow the same path as the US’s manufacturing decline, an economist says. Workers will have a better chance of finding new jobs. Play Icon A triangle pointing right. It indicates that this type of media can be played or that the linked content is playable. CMO Insider 2024-08-01T20:59:29Z Play icon A circle surrounding a triangle pointing right. It indicates, “this type of media can be played.” How American Express, DoorDash, JP Morgan Chase, and more are using AI to improve business CMOs from major brands reveal how their companies are using AI and its positive impact on the business. Reddit has acquired an AI startup to beef up its ad business in a deal worth around $40 million Reddit hopes its purchase of Memorable AI will boost the performance of advertising on its platform. Meta scraps celebrity AI chatbots after less than a year, despite reportedly paying top creators as much as $5 million Meta is shifting focus to its new AI Studio, which lets users create their own AI bots. Amazon has discussed a ‘DoctorAI’ tool to automate routine healthcare tasks In a leaked document from late 2023, Amazon’s One Medical team discussed their most disruptive ideas. One was a ‘DoctorAI’ large language model. A CIO canceled a Microsoft AI deal. The reason should worry the entire tech industry. The pharmaceutical company IT exec said Microsoft’s Copilot AI tools were not worth the extra money. Skills That Every Entrepreneur Needs Entrepreneurship is the backbone of innovation and economic growth in the United States. The skills required to succeed as an entrepreneur are also changing, from traditional business acumen to cutting-edge digital proficiencies. Adaptive Leadership This skill involves the ability to guide a team through uncertain and rapidly changing circumstances. Entrepreneurs must be able to pivot strategies, inspire their teams, and make tough decisions in the face of adversity. Adaptive leaders are characterized by their flexibility, openness to feedback, and ability to learn from failures. They understand that the business landscape is constantly evolving and are prepared to adjust their approach accordingly. Entrepreneurs can seek out mentorship opportunities, participate in leadership workshops, and practice self-reflection to develop adaptive leadership skills. Financial Literacy A solid understanding of finance is crucial for any entrepreneur in an uncertain economy. This goes beyond basic bookkeeping; it involves the ability to create and interpret financial statements, understand cash flow management, and make informed financial decisions. Entrepreneurs should be familiar with concepts such as profit margins, return on investment, and break-even analysis. They should also understand different funding options, from traditional bank loans to venture capital and crowdfunding. …

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AT&T powers IoT for Oracle enterprise communications

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AT&T powers IoT for Oracle enterprise communications Enabling its industry cloud application customers to connect and manage their internet of things (IoT) devices on the comms provider’s network through a single platform, Oracle announced that it is incorporating AT&T IoT connectivity and network APIs into its Enterprise Communications Platform (ECP). Oracle sees the move as potentially positively affecting the future of 5G network deployments and applications through “seamless” IoT integration and enhanced communication capabilities, representing a “crucial” next step toward bringing real-time communications to its suite of cloud applications. Supported by AT&T, ECP is now delivering IoT connectivity and near real-time communications to Oracle’s suite of industry cloud applications. With integrated capabilities such as IoT edge application management, the tech firm and telco said the all-in-one offering removes the customer burden of managing complex integrations and network contracts. Introducing Oracle Business Intelligence Enterprise Edition Built on Oracle Cloud Infrastructure (OCI), the unified communication and edge architecture is designed to give businesses the connectivity and real-time data intelligence they need to power critical new services and experiences. The integration with AT&T IoT connectivity and network API’s is available across OCI regions in the US. ECP supported by AT&T, is said to be capable of providing a foundation for new industry applications – from consumer to industrial business – delivering high-performing, reliable connectivity enabling innovation and new services, such as a turnkey; communications-enabled restaurant operation; automated utility grid management; or enriched telehealth capabilities. An example cited by the firms is FirstNet, the US nationwide high-speed Public Safety Network purpose-built for first responders. With ECP, it is now providing the foundation for Oracle’s Public Safety suite, helping to deliver secure communications that enable critical components such as dispatch command centres and near real-time camera feeds for first responders actively engaging in incidents. “Our mission has always been to help improve the way the world communicates, and with ECP supported by AT&T and FirstNet, we’re taking a massive step toward that vision,” said Andrew Morawski, executive vice-president and general manager at Oracle Communications. Introducing Oracle Business Intelligence Enterprise Edition “Together, we can help organisations across industries benefit from the full potential of 5G, by building a new generation of vertical applications offering endless opportunities to innovate.” Sarita Rao, senior vice-president at AT&T Partner Solutions, said: “AT&T is committed to empowering our ecosystem partners to build solutions that integrate AT&T programmable connectivity, whether using our IoT API’s or our emerging network API’s. “By teaming with Oracle to incorporate IoT connectivity and programmable APIs into Oracle industry applications, we are providing businesses and organisations a tighter level of integration between the network and application, driving performance and reliability gains, while also eliminating integration requirements and separate contracting events. It’s co-creation at its best.” Oracle taps AT&T to connect its enterprise IoT application services The Ultimate Guide to Modernize OBIEE and OAC with Power BI Oracle is incorporating cellular IoT connectivity and network APIs from AT&T into its Enterprise Communications Platform (ECP), it has said. The move means Oracle’s enterprise customers can do away with the need to manage complex integrations and network contracts when deploying fleets of IoT devices; these elements are now incorporated into Oracle’s cloud-based ECP proposition, enabling an “all-in-one platform”, it said. The ECP offer, running on the company’s hosted Oracle Cloud Infrastructure (OCI) service, features a bunch of industry cloud applications, which can now be combined easily with data from AT&T-connected IoT devices. The service is available across OCI regions in the US. The integration extends to the US First Responder Network (FirstNet), which piggybacks on AT&T infrastructure, as the basis for Oracle’s own suite of public safety solutions. Oracle said FirstNet and ECP are the “foundation” for this, helping to deliver “secure communications enabling critical components such as dispatch command centres and near real-time camera feeds for first responders actively engaging in incidents”. Otherwise, Oracle is pitching AT&T-connected IoT solutions on its enterprise platform for “innovation and new services” practically everywhere (“from consumer to industrial business”). It cited examples including “turnkey, communications-enabled restaurant operation, automated utility grid management, or enriched telehealth capabilities”. It stated: “ECP is delivering IoT connectivity and near real-time comms to Oracle’s suite of industry cloud applications. With integrated capabilities such as IoT edge application management, this all-in-one offering… gives the connectivity and data intelligence to power critical new services.” Power BI vs Oracle Analytics Cloud: Which is better? Andrew Morawski, executive vice president and general manager at Oracle Communications, said: “Our mission has always been to help improve the way the world communicates, and with ECP supported by AT&T and FirstNet, we’re taking a massive step toward that vision. Together, we can help organisations across industries benefit from the full potential of 5G, by building a new generation of vertical applications offering endless opportunities to innovate.” Sarita Rao, senior vice president for partner solutions at AT&T, said: “AT&T is committed to… our ecosystem partners to build solutions that integrate… programmable connectivity, whether using IoT APIs or network APIs. By teaming with Oracle… we are providing a tighter level of integration between the network and application, driving performance and reliability gains while also eliminating integration requirements and separate contracting events. It is co-creation at its best.” Oracle taps AT&T to connect its enterprise IoT application services Oracle is incorporating cellular IoT connectivity and network APIs from AT&T into its Enterprise Communications Platform (ECP), it has said. The move means Oracle’s enterprise customers can do away with the need to manage complex integrations and network contracts when deploying fleets of IoT devices; these elements are now incorporated into Oracle’s cloud-based ECP proposition, enabling an “all-in-one platform”, it said. The ECP offer, running on the company’s hosted Oracle Cloud Infrastructure (OCI) service, features a bunch of industry cloud applications, which can now be combined easily with data from AT&T-connected IoT devices. The service is available across OCI regions in the US. The integration extends to the US First Responder Network (FirstNet), which piggybacks on AT&T infrastructure, as the basis for Oracle’s own suite of public safety solutions. Oracle said FirstNet and ECP are the “foundation” for …

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Business Intelligence and Analytics Fusion Introduces New AI-Powered Scenario Simulation and Intelligence Suite

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Business Intelligence and Analytics Fusion Introduces New AI-Powered Scenario Simulation and Intelligence Suite Fusion Risk Management (Fusion), a provider of cloud-based operational resilience, business continuity, and risk management solutions, is releasing its new Scenario Simulation and Intelligence suite—enabling companies to simulate thousands of possible scenarios against their resilience plans and strategies to identify points of weakness at scale. Posted August 14, 2024 Ridge Security Enhances Proactive Exposure Management with RidgeBot 4.3.3 Ridge Security Technology Inc. is releasing RidgeBot version 4.3.3, introducing a powerful integration that enhances proactive exposure management for organizations—combining RidgeBot’s automated vulnerability detection and validation capabilities with leading vulnerability management (VM) solutions. Posted August 14, 2024 Business Intelligence Essentials – Credly DBTA Readers’ Choice Award Winners (2024) With the recent AI boom, data is being created and generated at unprecedented rates. Per the latest estimates, 402.74 million terabytes of data are created each day. This increase calls for a paradigm shift in company efficiency—quickly enabling enterprises to uncover quality insights and effective organization of this data. To help organizations progress along their data-driven journeys, each year, DBTA presents the Readers’ Choice Awards, which provide the opportunity to recognize companies whose products have been selected by the experts—our readers! Posted August 13, 2024 Rubrik and Mandiant Collaborate to Drive Robust Threat Recovery and Response Rubrik, Inc., the Zero Trust Data Security Company, is unveiling a new partnership with Mandiant, a cyber defense provider which is now part of Google Cloud. This collaboration—which is shaped by three key pillars—serves to help enterprises quickly control their risk against diverse, rampant threats. Posted August 13, 2024 IBM Cognos Business Intelligence : The Official Guide Cribl Partners with 4 Key Players in the Security Space Cribl, the data engine for IT and security, announced four key partnerships with Vijilan, Anvilogic, Securonix, and Anomali, to address growing enterprise IT and security data management challenges. Cribl Stream and Edge products are now integrated with Anvilogic’s innovative security information and event management (SIEM) platform, providing security operations centers (SOC) with best-in-class flexibility, cost efficiency, and control over their security data, according to the vendors. Posted August 12, 2024 Global Edge Data Center Market Predicted to Cross $300B By 2026 Analysis by global real estate consulting firm JLL predicts edge IT infrastructure and data centers will become a $317 billion market globally by 2026, representing a 107% growth from the 2020 market valued at $153 billion. Globally, the growth of edge computing will be influenced by not only the emergence of several technology-based megatrends but also the need for faster data transfer and high computation, as well as factors such as policies and regulations. Posted August 12, 2024 IBM Cognos Business Intelligence IBM Provides Generative AI-Powered Cybersecurity Assistant IBM is adding generative AI capabilities to its managed Threat Detection and Response Services utilized by IBM Consulting analysts to advance and streamline security operations for clients. Built on IBM’s watsonx data and AI platform, the new IBM Consulting Cybersecurity Assistant is designed to accelerate and improve the identification, investigation, and response to critical security threats, according to the company. Posted August 12, 2024 Upgrading the DBMS: Poking a House of Cards Regular readers of this column are aware that I am a proponent of getting rid of bad database standards. But sometimes it can be difficult to determine if a particular standard is bad, or just a lot of trouble to comply with! Well, what am I getting at here? Have you ever been thwarted by a global fiat from management? Of course you have, we all have. But I’m talking about a particular type of dictum from above. Something like this: “New software installations, including updated versions and releases, must be supported by current tooling before they can be installed.” Posted August 12, 2024 IBM Business Intelligence (BI) Analyst Professional Certificate Advanced Info Service Selects Oracle Alloy to Build Thailand’s Locally Owned and Operated Hyperscale Cloud Advanced Info Service (AIS), one of Thailand’s largest mobile network operators, announced plans to deploy Oracle Alloy and launch AIS Cloud, the country’s first locally owned and operated hyperscale cloud. Oracle Alloy will provide AIS’ customers and all enterprises in Thailand, including the public sector, access to more than 100 Oracle Cloud Infrastructure (OCI) services, including the latest artificial intelligence (AI) capabilities. Posted August 12, 2024 Supply Wisdom and Fusion Collaborate to Enhance Third-Party Risk Management Effectiveness Supply Wisdom, the market’s full-stack, real-time risk intelligence SaaS platform powered by artificial intelligence (AI), is partnering with Fusion Risk Management (Fusion), a leading provider of cloud-based operational resilience, business continuity, and risk management solutions—offering Fusion customers a seamless integration for enhanced third-party risk management (TPRM) and operational risk and resilience program needs. Posted August 09, 2024 Cloudera Boosts Metadata Management with New Solution Capabilities Cloudera, a hybrid platform for data, analytics and AI, is introducing two key enhancements to its metadata management solutions, boosting open interoperability within the open data lakehouse and addressing increasing demands for security and governance across the entire data lifecycle. Posted August 08, 2024 Navigating The Good and Bad Of AI Despite the overwhelming promise of AI, its rapid proliferation has been accompanied by some unwanted side effects, including a dramatic uptick in cyberattacks— particularly social engineering attacks like phishing, which have grown 1,265% since late 2022. As a result, organizations across industries are faced with an ever-evolving challenge: balancing the positive use cases associated with AI, such as automated monitoring and streamlined workflows, with its very real risks. Posted August 08, 2024 Fuzzy Wuzzy Was a Bear, Or Was He/She a Diagram? Everyone likes a diagram. Diagrams often help make an issue clear—except when they don’t. There are plenty of diagrams that really do not convey information to the viewer, and that is a sad state for any diagram to find itself in. Maybe, just maybe, not everyone has the proper temperament to create a useful diagram? Before composing a diagram, the diagram-builder needs to be clear about what viewers of the created diagram should gain from viewing …

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Why enterprise CIOs need to plan for Microsoft gen AI

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Why enterprise CIOs need to plan for Microsoft gen AI Enterprises with strong experience in open source may look to open foundation models as an option to reduce costs, but Curran cautions against equating open weight models with the more familiar open source ecosystem. He predicts enterprises will adopt them though, including using them in curated environments provided like Azure. “I’ve seen a lot of interest in the open source models, but not many in production,” says Boyd, although customers are starting to use small models like Microsoft’s own Phi series. “But it’s largely early days. I haven’t seen mass adoption.” Beyond simplifying setting up and running open weight models, using them on a platform like Azure has an added benefit: Microsoft’s model content safety service is “on and integrated by default with Azure Open AI Services, but it’s also on by default with all our open source models as well,” he adds. Alternatives to Apache Superset That’ll Empower Start-ups and After the excitement and experimentation of last year, CIOs are more deliberate about how they implement gen AI, making familiar ROI decisions, and often starting with customer support. “It’s a cost most organizations have but don’t like paying for, yet they still want to provide a quality experience,” he says. Reduced call times and escalations are obvious benefits as well. These more vertical, task specific, integrated gen AI offerings may contribute more than generalist productivity copilots because people won’t need to find uses and then remember to include them in their workflow. But the most popular copilots can perform strongly: Virgin Atlantic, for instance, reports efficiency gains of 14 minutes per day. But not all copilots necessarily provide the same value. Curran suggests security copilots may not provide significant extra value on top of existing tools in Microsoft Defender, at least without extra training. But the Excel Copilot was a surprise hit at Virgin Atlantic. “People absolutely love that Copilot will automatically tell you if you have data inconsistencies in the way you’re filling out forms,” says Walker. He describes how Copilot can warn if, say, you’re adding a duplicate filter in lower case instead of upper case, and fix it. “It’s like having someone look over your shoulder as you’re doing it.” The Teams Copilot to summarize meetings and provide next steps is almost universally popular, too. “You get into a room with 15 people and you’re not focusing on who’s taking the minutes or whether you need to be clear enough in allocation and make sure everyone understands what the output is,” says Walker. “You’re focusing on the meeting itself, and you’re more present in the room because you know Copilot is behind you recording and transcribing.” An Introduction to Apache Superset: An Open Source BI solution Even this pre-built Copilot needs preparation before enabling. Multilingual organizations where staff speak in both their native languages and a common language like English or Mandarin will need to monitor quality of transcriptions and translations more carefully. And if recording meetings isn’t already common in the organization, CIOs need to consult with legal and data protection teams on retention, auditing, and deletion policies because of potential issues around discovery. A data leakage plan helps here too. “As soon as you record something, it becomes a form of data and needs classification and a place in the organization,” Walker says. “But equally, you need to know whether it’s appropriate to create that data in the first place.” While CIOs need to maintain financial discipline and track usage of gen APIs with the now familiar ‘pay as you go’ model, especially with September budgeting season looming, they also need to play a long game warns Mickey North Rizza, group VP, Enterprise Software at IDC. “It’s going to cost you a lot of money,” she says. “CIOs may complain they’re not getting enough out of it, but the first time you got an iPhone, nobody knew what to do with it.” Whether used as an assistant, advisor, or an agent, she expects gen AI’s optimized access to information to reduce multi-step business processes to real-time systems with far fewer steps. But experimentation to achieve significant results takes time. Welcome Superset In the meantime, Boyd notes, OpenAI prices have significantly reduced. “In the year and a half since Azure OpenAI Services has been available, ChatGPT 4 has fallen by 12 times while being six times faster,” he says. Phased deployments aren’t just about cost, security, or compliance concerns, but capturing the right feedback to manage them well and support users properly. Training is key, even when considering gen AI skills in hiring, as is being willing to accept the simplified processes gen AI can produce. Troublingly, there’s a considerable disconnect between what leaders think their employees are ready for with gen AI and what staff feel prepared for. Forrester found 59% of leaders believe they’ve given staff sufficient training, but only 45% of employees say they’ve had any formal training. The most successful training covers not just staff roles but their workflows. There’s enormous enthusiasm for gen AI but engagement quickly drops off if they don’t have the time to explore it and learn how to get useful results for their work, Wong says. “If you don’t use the technology to fundamentally rethink processes, and you just layer more AI work over existing processes, you don’t get the best benefit out of it,” he says. “You have to rethink the underlying processes, and have training and ongoing education because these technologies are moving very quickly. The paradox is employees still want it despite the fact it’s hard for them to ingrain generative AI into their work routines, and that in some cases it’s underwhelming based on their expectations.” CIOs may then want to consider how organizations adopt low code tools, where encouraging bottom up enthusiasm, experimentation, and sharing of growing expertise helps spread usage across the business. Both Microsoft and Virgin Atlantic report good results from structured training that includes time to experiment. Walker …

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BI tools give businesses access to real-time data

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Transforming Your Organization with the Power of Business Intelligence Share   Share What is Power BI – BeyondKey Systems   Share   Email Connect MySQL To Power BI Step By Step [] – ScaleGrid   With the ability to drive strategic initiatives, make educated decisions and extract valuable insights from raw data, business intelligence (BI) has become a key enabler for organizational success. BI has revolutionized the way businesses operate and plan for the future in this age of intense competition and rapid technological advancement. One of the most powerful business intelligence tools available, Intellicus has provided tailored solutions to over 17,000 small and large businesses, enabling them to make data-driven decisions. Understanding Business Intelligence Business Intelligence (BI) is a technology-driven process that analyzes business data to provide actionable information that informs strategic and operational decisions. It involves collecting, storing, analyzing, and visualizing data to uncover patterns, trends, and insights that drive business performance. It combines internal and external data sources into a logical framework that helps produce insights that can be put into action. Business intelligence is a valuable resource that facilitates managers, executives and stakeholders to make informed decisions. How to Connect Microsoft Power BI to MySQL Database and Pull Data Business Intelligence (BI) is a technology-driven process that analyzes business data to provide actionable information that informs strategic and operational decisions. It involves collecting, storing, analyzing, and visualizing data to uncover patterns, trends, and insights that drive business performance. Essentially, BI transforms raw data into meaningful information that empowers organizations to make data-driven decisions. The Four Pillars of Business Intelligence Data Collection and Integration: Business Intelligence starts with the compilation of information from various sources, such as social media interactions, market trends, consumer profiles and sales statistics. This data must be integrated into a single platform in order to provide a comprehensive view and analysis. Data Visualization and Analysis: BI tools analyze trends, patterns, and connections using sophisticated analytics. Visualization tools like dashboards, charts, and graphs transform complex data into understandable insights for efficient decision-making. Connect MySQL to PowerBI Predictive Analytics: BI doesn’t merely focus on the present; it anticipates the future. To predict future trends, predictive analytics uses machine learning models and statistical algorithms. This makes it possible for companies to plan ahead and adapt proactively. Actionable Insights: BI aims to generate actionable insights, not just reports. These insights help optimize operations, identify new opportunities, and enhance overall performance. The Transformative Impact of Business Intelligence Improved Decision Making BI tools give businesses access to real-time data, which is essential for making timely, well-informed decisions. This eliminates the need for guesswork and intuition-based decisions in favor of data-driven ones. Additionally, BI tools, like dashboards and visualizations, present data in an understandable format, making it easier for decision-makers to quickly comprehend complex information and react to changes that may have an impact on the business. A Detailed Guide to The Most Powerful MySQL BI & Reporting Tools Operational Efficiency The operational efficiency of an organization can be greatly improved using business intelligence. By automating repetitive operations, BI solutions allow employees to concentrate on more important facets of the company. Furthermore, by highlighting areas in the business process that require improvement, BI tools enable firms to get rid of bottlenecks, simplify procedures and cut expenses. Customer satisfaction and service delivery are enhanced as a result. Improved Bottom Line Business Intelligence can assist companies in increasing revenue and sales by offering insightful information about consumer behavior. With the use of BI technologies, marketers can better focus their campaigns and boost sales by analyzing customer data to find trends, buying patterns and preferences. Additionally, organizations can use business intelligence to pinpoint successful consumer categories and concentrate their marketing efforts on them. Revenue growth and improved conversion rates are possible outcomes of this focused strategy. Competitive Advantage Business Intelligence provides a competitive edge in today’s data-driven world. Through the utilization of BI tools, companies can acquire comprehensive insights into the tactics, advantages and disadvantages of their rivals and utilize this data to formulate strategic plans. Similarly, it facilitates prompt market adaptation and can assist companies in recognizing customer behavior shifts and market trends. Ethical Considerations in BI The Future of Business Intelligence Advancing technology promises a bright future for BI. AI and machine learning will enhance predictive analytics, enabling businesses to foresee trends and adapt quickly. Integrating BI with emerging technologies like IoT and blockchain will unlock new dimensions of data analysis and decision-making. Conclusion Business Intelligence has evolved from being a mere buzzword to a transformative force shaping the future of businesses. It empowers organizations to navigate complexities, capitalize on opportunities, and drive growth in an increasingly data-centric world. Embracing BI isn’t just an option; it’s a necessity for businesses aspiring to thrive in today’s competitive landscape. repeating the info from intro [SD1] This doesn’t fit right here… please change the placement [SD2] Talent Intelligence: Unlocking The Power Of Multidimensional Data Joanna Riley, CEO & cofounder of Censia. Striving for a more just and efficient global economy through better talent data and technology. getty In the age of data-driven decision-making, the significance of structured, multidimensional data cannot be overstated. This data type forms the backbone of advanced AI systems, facilitating nuanced insights and predictive analytics essential for modern business strategies, including talent management. Data-Driven Recruiting And Talent Management Companies that harness data in talent management have seen remarkable improvements in both efficiency and insights into workforce dynamics. For instance, incorporating data-driven strategies in recruiting has been shown to significantly enhance the quality of the workforce, increase productivity, and support unbiased hiring decisions. Workable’s comprehensive guide on data-driven recruiting emphasizes the importance of choosing the right data and metrics, collecting data efficiently, and acting on this data to improve hiring processes. The Rise Of Multidimensional Data in HR Multidimensional data isn’t a new concept. Most business intelligence (finance, consumer behavior, etc.) relies on structured data across multiple dimensions to gain profound insight and determine future strategy. HR has always been the big exception because …

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Hidden Apple Intelligence Features Revealed

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Hidden Apple Intelligence Features Revealed Apple’s latest iOS 18.1 beta 2 update brings a suite of advanced AI-driven features for Apple Intelligence designed to transform your user experience. These hidden gems leverage Apple’s innovative AI technology to automate tasks, enhance communication, and create personalized content, ultimately streamlining your daily interactions with your device. Let’s dive into the details of these innovative features. Smart Reply: Effortless Email and Message Responses The Smart Reply feature in iOS 18.1 takes the hassle out of responding to emails and messages. Intelligently analyzing the content of your incoming communications suggests complete, contextually relevant replies. Whether you receive an email requesting a meeting confirmation or a message asking for your availability, Smart Reply offers appropriate responses like “Yes, that works for me” or “Can we reschedule?” With just a tap, you can send a thoughtful reply, saving you valuable time and effort. Power BI – Data Visualization Microsoft Power Platform Call Recording and Transcription: Never Miss a Detail iOS 18.1 introduces an innovative Call Recording feature in Apple Intelligence, that allows you to record phone calls directly on your iPhone. These recordings are conveniently saved in the Notes app, where you can also take synchronized notes during the call. But that’s not all – the feature also includes call transcription, allowing you to read through the entire conversation later. This proves invaluable for business calls, interviews, or any situation where you need to refer back to specific details mentioned during the call. Reduce Interruptions Focus Mode: Stay Focused with Smart Notifications The Reduce Interruptions Focus Mode of Apple Intelligence, harnesses the power of AI to intelligently manage your notifications, ensuring that only essential alerts break through when you need to concentrate. What sets this mode apart is its ability to highlight important notifications even when active. This means you can stay focused on your tasks without fear of missing critical updates. Whether it’s a reminder from your calendar or a message from an important contact, the AI ensures you receive the notifications that matter most. Power BI Business Analytics & Business Intelligence Big Data Summaries: Bypass Paywalls and Ads for Streamlined Reading The Summaries feature is a catalyst for avid readers and busy professionals alike. It provides concise text summarization for emails and web articles, allowing you to quickly grasp the key points without wading through lengthy content. But here’s the kicker – it can even bypass paywalls and ads in Safari, giving you a clean, ad-free reading experience. Whether you’re catching up on the latest news or skimming through a lengthy email thread, Summaries ensures you get the essential information without any distractions. Create a Memory: Effortless Personalized Movies With the Create a Memory feature, you can effortlessly generate stunning memory movies from your photos and videos. Simply describe the event or theme, and let the AI work its magic. It intelligently compiles relevant media from your library, creating a personalized movie that captures the essence of your memories. Whether it’s a vacation highlight reel, a family gathering montage, or a special occasion tribute, Create a Memory takes the hassle out of manual editing, allowing you to relive and share your precious moments with ease. Beyond Numbers: The Strategic Insights of Power BI in Business Type to Siri: Silent Interaction with Your Virtual Assistant The Type to Siri feature introduces a new way to interact with your virtual assistant. Instead of relying solely on voice commands, you can now communicate with Siri through typed queries. This proves incredibly useful in situations where speaking is not possible or appropriate, such as in a quiet library or during a meeting. Simply type your request, whether it’s setting a reminder, sending a message, or searching for information, and Siri will silently assist you without disrupting your surroundings. iOS 18.1’s hidden Apple Intelligence features mark a significant leap forward in mobile AI capabilities. By seamlessly integrating these advanced technologies into your daily interactions, Apple empowers you to: Streamline communication with Smart Reply and Call Recording Stay focused with intelligent notification management in Reduce Interruptions Focus Mode Enjoy ad-free, summarized content with Summaries Create personalized memory movies effortlessly with Create a Memory Interact silently with Siri using Type to Siri These features showcase Apple’s commitment to pushing the boundaries of what your iPhone can do, making everyday tasks more efficient, enjoyable, and tailored to your needs. With iOS 18.1 beta 2, you can experience the future of Apple Intelligence, where your device becomes an even more intelligent and intuitive companion in your daily life. Source & Image Credit: iDB Filed Under: Apple, Apple iPhone, Top News Latest Geeky Gadgets Deals Disclosure: Some of our articles include affiliate links. If you buy something through one of these links, Geeky Gadgets may earn an affiliate commission. Learn about our Disclosure Policy. How to leverage AI for business growth In the rapidly evolving landscape of modern business, leveraging artificial intelligence, or AI, has become a crucial strategy for achieving significant growth. AI offers myriad opportunities to optimize operations, enhance customer experiences and drive innovation. This article delves into practical ways businesses can harness AI to spur growth, providing insights into how this technology can be integrated effectively. Understanding the power of AI in business Artificial intelligence has transcended from being a futuristic concept to a tangible tool that drives real business results. At its core, AI refers to the simulation of human intelligence processes by machines, particularly computer systems. These processes include learning (the acquisition of information and rules for using the information), reasoning (using rules to reach approximate or definite conclusions) and self-correction. The role of AI in enhancing efficiency One of the most compelling benefits of AI is its ability to enhance operational efficiency. By automating routine tasks, AI frees up human resources to focus on more strategic initiatives. For instance, AI-powered chatbots can handle customer inquiries around the clock, providing immediate responses and freeing customer service representatives to tackle more complex issues. Moreover, AI-driven analytics tools can process vast amounts of data at unprecedented speeds, offering businesses valuable insights that …

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22nd Century Technologies Buys TreasurySoft

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22nd Century Technologies Buys TreasurySoft to Expand ERP Capabilities for Federal Market Clients McLean, Virginia-based 22nd Century Technologies Inc. has acquired TreasurySoft in a transaction that expands its enterprise resource planning practice and capabilities to deliver digital transformation platforms to federal, state, local government and transit agencies. TSCTI said Tuesday TreasurySoft provides PeopleSoft and Oracle Fusion ERP Treasury Management Systems and other tech platforms that offer real-time insights across cash management, risk management, investment management and other critical financial functions. “By bringing TreasurySoft into our fold, we are not only expanding our ERP capabilities but also setting the stage to provide tailored solutions that extend and optimize Oracle ERP implementations,” said TSCTI CEO Anil Sharma. How Business Intelligence in ERP Can Improve Your Company Go “TreasurySoft’s ability will enable us to deliver more robust, efficient, and integrated solutions on top of existing Oracle platforms,” added Sharma. TSCTI has more than 400 contracts and approximately 6,000 employees focused on supporting the mission-critical programs of defense, intelligence and federal civilian agencies in digital transformation, cybersecurity, cloud migration and application modernization, among other areas. De-siloing the enterprise: The challenges and opportunities in data consolidation A hot topic in the data management space is the argument against data silos. Factors such as generative artificial intelligence and decentralized data infrastructures have intensified the need to embrace the data consolidation ethos. RelationalAI’s Molham Aref discusses modern data platforms. Business Intelligence in Custom ERP Development Altamira What is the imperative to de-silo data operations? And what challenges and opportunities exist as companies move toward interconnected data infrastructures? “You’re building intelligent applications, and by definition, these applications have to look at data,” said Molham Aref (pictured), chief executive officer of RelationalAI Inc. “The old architecture is where you’re moving a few records of data over to some Java to do something, to book you an airline seat, that doesn’t work anymore. You’re now doing things that require you to predict and you need to look at lots of data. And so, the new architectures will move the semantics and the business logic to the data. And my view is that business logic is going to have to change to fit in the modern data stack.” Aref spoke with theCUBE Research’s Dave Vellante and George Gilber at the Supercloud 7: Get Ready for the Next Data Platform event, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed the future of data consolidation as one that integrates and harmonizes data with business logic, creating a seamless and intelligent ecosystem. Data consolidation: Key players and battles Business Intelligence in ERP (The Role of BI Tools in ERP) The last decade has seen significant developments in the data stack. Snowflake Inc. emerged as a dominant force in the database engine space, while Databricks Inc. took the lead in managing data pipelines. The field of data formats is another competition frontier, one that has seen the emergence of Iceberg as a dominant player, according to Aref. “I think the next layer is about semantics,” he said. “Where do you put application logic and semantics in this new world? And where do you put it in a world where people are asking to rethink applications in terms of intelligent applications?” One inalienable theme in the various contests across the data stack is openness. The next frontier is the catalog wars, where the aim is to unbundle catalogs from the respective technologies, allowing for greater flexibility and interoperability. This unbundling is a critical step toward the next layer of evolution: semantics. “Let’s say, I have information about people in my database,” Aref said. “And let’s say there’s an entry for Dave, an entry for George, an entry for Molham. I might want to compute our ages from our birthdays. Now, I can just add an extra column and key in our ages, but that’s not good, because as time passes, I’ll have to keep updating our ages as we all get older. Instead of just storing the raw data, I might put in a bit of business logic that says, ‘A person’s age is equal to today minus their date of birth.’ And anytime someone needs to look up any of our ages, okay, I will just apply the semantics, the business logic.” How Business Intelligence in ERP Can Improve Your Company Go In traditional systems, application logic was often written in languages such as Java or COBOL, detached from the data itself. The modern approach expresses business logic relationally, ensuring it coexists seamlessly with the data. This transition to data consolidation is essential for applications that are capable of making predictions and optimizations based on vast amounts of data, according to Aref. The legacy challenge and path forward The current state of enterprise data management is a patchwork of thousands of applications, each with its data model and logic. This fragmented architecture is a product of technological constraints and business needs from decades past. However, with advancements in scalability, algorithms and data structures, there is an opportunity to revisit and overhaul these systems, according to Aref. “Because the relational databases at the time were not powerful enough and scalable enough and their pricing models were such that they were too expensive to run the business logic, as a workaround, we pulled that logic out, we implemented by hand procedurally, because we didn’t have the relational language that could express it declaratively,” he said. “We had to live with this two-brain architecture, where the database had no idea what the application logic was doing. And the application logic didn’t understand databases.” How Business Intelligence in ERP Can Improve Your Company Go The goal is to move toward a common model where data and business logic are integrated into a unified framework. This approach simplifies the architecture, reduces redundancy and facilitates better decision-making. Subsequently, a gradual refactoring of legacy applications will occur, bringing forth a modern, data-centric framework, without the need for a disruptive big bang rewrite, Aref added. Stay tuned for the complete video interview, part of …

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Business Intelligence and Analytics Fusion introduces a new AI-powered scenario.

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You Won’t Need to Pay for Apple Intelligence Anytime Soon Despite several analyst reports that Apple will eventually charge for access to Apple Intelligence features, it’s unlikely it plans to do so anytime soon. While many, including Mark Gurman, believe that Apple’s focus on growing its services business makes a paid Apple Intelligence tier inevitable, the Bloomberg analyst is also convinced this won’t be coming in the near future — and that it’s unlikely to encompass any of the Apple Intelligence features that are slated to arrive in iOS 18 over the next year. In late June, Gurman suggested an “Apple Intelligence+” tier could eventually arrive with a monthly fee, but it would most likely consist of extra new features rather than putting things like Siri personal context, Image Playground, and Genmoji behind a paywall. More analysts chimed in last week to suggest a $20 monthly price tag, although it seems like they’re pulling that number out of thin air based on what they feel the market will bear. For example, OpenAI charges $20 per month for its ChatGPT Plus subscription, but that’s not a fair comparison to what Apple is likely to do since OpenAI’s paid plans are about providing higher usage limits more than additional features. Microsoft Power BI – What Is It and What to Use It For? – TPG The However, amidst all this speculation, Gurman has offered an important point of clarification. While he maintains in his latest Power On newsletter that a paid Apple Intelligence tier will eventually arrive, he also emphasizes that it will be years before Apple is ready to go there. That’s because Gurman doesn’t expect Apple Intelligence to be a mature product that people will be willing to pay for before 2027 — and he calls that a “best-case scenario.” Apple isn’t foolish enough to try to charge high fees for something that’s not ready for prime time. Say what you will about Apple TV+ when it first launched in 2019, but even though it had a limited catalog of content, and what was there may not have been everyone’s cup of tea, it still had some big-name talent on board. It also launched at a much lower price than any other streaming service — a price it later admitted was deliberately set low to reflect the smaller amount of content available at launch. Apple Intelligence is arguably launching early in response to the AI hype, but it will be well into 2025 before it offers everything that Apple showed us during its Worldwide Developers Conference (WWDC). reasons to use Microsoft Power BI Stitch The second iOS 18.1 beta came out earlier this week with preliminary Apple Intelligence features, which still excludes the really fun stuff like Genmoji and Image Playground. Those might be ready by the time iOS 18.1 gets released in October, but ChatGPT integration probably won’t show up until iOS 18.2, and we already know that the more powerful Siri and personal context features aren’t likely to appear until iOS 18.4. Then there’s the wrinkle that Apple Intelligence is only available in the US English and is restricted in the European Union and China due to regulatory issues. Apple has promised to add more languages over the next year, but there’s no word on when those will show up, and while it’s also working on the regulatory hurdles, that could take even longer. As it stands now, Apple Intelligence may not be fully baked until iOS 19 arrives next year, and even then, it’s hard to imagine Apple being ready to add even more features that will be worth charging for. Lastly, it’s important to remember that everything that’s been said about Apple charging for Apple Intelligence is educated speculation, at best. Apple has not even hinted that it will try to monetize any of these features directly from end users. It’s likely getting a cut from ChatGPT subscriptions made through Apple Intelligence, but that’s a typical arrangement for every in-app subscription. Power BI – Data Visualization Microsoft Power Platform That’s in contrast to Emergency SOS via satellite. When Apple launched that in 2022 with the iPhone 14 lineup, it made it clear that it could eventually start charging for satellite access, promising iPhone 14 owners only two years of free access. It has yet to say what will happen when that time is up, but it’s already extended that into late 2025, matching the two years that new iPhone 15 buyers would have received at launch. Only Apple knows when or if it will charge for satellite access, but it’s left the door open to do so. That’s not the case with Apple Intelligence. While Apple is undoubtedly looking at ways it can grow its services business, it’s not trying to turn everything into a subscription service, and rumors of a paid Apple Intelligence+ tier could end up carrying as much weight as earlier rumors of things like Apple Mail+ and Apple Health+. [The information provided in this article has NOT been confirmed by Apple and may be speculation. Provided details may not be factual. Take all rumors, tech or otherwise, with a grain of salt.] Business Intelligence and Analytics Fusion introduces a new AI-powered scenario. Simulation and Intelligence Suite Fusion Risk Management (Fusion), a provider of cloud-based operational resilience, business continuity, and risk management solutions, is releasing its new Scenario Simulation and Intelligence suite—enabling companies to simulate thousands of possible scenarios against their resilience plans and strategies to identify points of weakness at scale. Manage semantic model access permissions – Power BI Microsoft Learn Posted August 14, 2024 Ridge Security Enhances Proactive Exposure Management with RidgeBot 4.3.3 Ridge Security Technology Inc. is releasing RidgeBot version 4.3.3, introducing a powerful integration that enhances proactive exposure management for organizations—combining RidgeBot’s automated vulnerability detection and validation capabilities with leading vulnerability management (VM) solutions. Posted August 14, 2024 DBTA Readers’ Choice Award Winners (2024) With the recent AI boom, data is being created and generated at unprecedented rates. Per the latest …

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Business Intelligence Improved Decision Making

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How AI Can Power Brand Management Marketers have begun experimenting with AI to improve their brand-management efforts. But unlike other marketing tasks, brand management involves more than just repeatedly executing one specialized function. Long considered the exclusive domain of creative talent, it encompasses multiple activities designed to build the reputation and image of a business—such as crafting and communicating the brand story, ensuring that the product or service and its price reflect the brand’s competitive positioning, and managing customer relationships to forge loyalty to the brand. A brand is a promise to customers about the quality, style, reliability, and aspiration of a purchase. AI can’t fulfill that promise on its own (at least not anytime soon). But it can shape customers’ impressions of a brand at every interaction. And it can automate expensive creative tasks—including product design. To succeed with it, you must understand how it is perceived by stakeholders and what can be done not only to mitigate their concerns but to make them avid supporters. Using examples from Intuit, Caterpillar, and LOOP, along with in-depth scholarly research, the authors propose a framework for thinking about the key roles that AI plays when it comes to managing brands effectively. Transforming Your Organization with the Power of Business Intelligence Power BI vs Qlik Sense Features Comparison Share   Share   Qlik vs Share   Email   Qlik vs Power BI – Analytics Comparison Guide With the ability to drive strategic initiatives, make educated decisions and extract valuable insights from raw data, business intelligence (BI) has become a key enabler for organizational success. BI has revolutionized the way businesses operate and plan for the future in this age of intense competition and rapid technological advancement. One of the most powerful business intelligence tools available, Intellicus has provided tailored solutions to over 17,000 small and large businesses, enabling them to make data-driven decisions. Understanding Business Intelligence Business Intelligence (BI) is a technology-driven process that analyzes business data to provide actionable information that informs strategic and operational decisions. It involves collecting, storing, analyzing, and visualizing data to uncover patterns, trends, and insights that drive business performance. It combines internal and external data sources into a logical framework that helps produce insights that can be put into action. Business intelligence is a valuable resource that facilitates managers, executives and stakeholders to make informed decisions. Business Intelligence (BI) is a technology-driven process that analyzes business data to provide actionable information that informs strategic and operational decisions. It involves collecting, storing, analyzing, and visualizing data to uncover patterns, trends, and insights that drive business performance. Essentially, BI transforms raw data into meaningful information that empowers organizations to make data-driven decisions. Microsoft Power BI vs Tableau vs Qlik Key Features The Four Pillars of Business Intelligence Data Collection and Integration: Business Intelligence starts with the compilation of information from various sources, such as social media interactions, market trends, consumer profiles and sales statistics. This data must be integrated into a single platform in order to provide a comprehensive view and analysis. Data Visualization and Analysis: BI tools analyze trends, patterns, and connections using sophisticated analytics. Visualization tools like dashboards, charts, and graphs transform complex data into understandable insights for efficient decision-making. Predictive Analytics: BI doesn’t merely focus on the present; it anticipates the future. To predict future trends, predictive analytics uses machine learning models and statistical algorithms. This makes it possible for companies to plan ahead and adapt proactively. Actionable Insights: BI aims to generate actionable insights, not just reports. These insights help optimize operations, identify new opportunities, and enhance overall performance. The Transformative Impact of Business Intelligence Improved Decision Making BI tools give businesses access to real-time data, which is essential for making timely, well-informed decisions. This eliminates the need for guesswork and intuition-based decisions in favor of data-driven ones. Additionally, BI tools, like dashboards and visualizations, present data in an understandable format, making it easier for decision-makers to quickly comprehend complex information and react to changes that may have an impact on the business. Operational Efficiency The operational efficiency of an organization can be greatly improved using business intelligence. By automating repetitive operations, BI solutions allow employees to concentrate on more important facets of the company. Furthermore, by highlighting areas in the business process that require improvement, BI tools enable firms to get rid of bottlenecks, simplify procedures and cut expenses. Customer satisfaction and service delivery are enhanced as a result. Improved Bottom Line Business Intelligence can assist companies in increasing revenue and sales by offering insightful information about consumer behavior. With the use of BI technologies, marketers can better focus their campaigns and boost sales by analyzing customer data to find trends, buying patterns and preferences. Additionally, organizations can use business intelligence to pinpoint successful consumer categories and concentrate their marketing efforts on them. Revenue growth and improved conversion rates are possible outcomes of this focused strategy. Competitive Advantage Business Intelligence provides a competitive edge in today’s data-driven world. Through the utilization of BI tools, companies can acquire comprehensive insights into the tactics, advantages and disadvantages of their rivals and utilize this data to formulate strategic plans. Similarly, it facilitates prompt market adaptation and can assist companies in recognizing customer behavior shifts and market trends. Ethical Considerations in BI The Future of Business Intelligence Advancing technology promises a bright future for BI. AI and machine learning will enhance predictive analytics, enabling businesses to foresee trends and adapt quickly. Integrating BI with emerging technologies like IoT and blockchain will unlock new dimensions of data analysis and decision-making. Conclusion Business Intelligence has evolved from being a mere buzzword to a transformative force shaping the future of businesses. It empowers organizations to navigate complexities, capitalize on opportunities, and drive growth in an increasingly data-centric world. Embracing BI isn’t just an option; it’s a necessity for businesses aspiring to thrive in today’s competitive landscape. repeating the info from intro [SD1] This doesn’t fit right here… please change the placement [SD2] Qlik brings innovative data integration, analytics, and AI Solutions to …

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The Future of Business Intelligence

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Transforming Your Organization with the Power of Business Intelligence Share   Share Data Analytics And Business Intelligence Computational Frameworks   Share   Email Tech trailblazers: How Tokopedia is innovating in Indonesia CIO   With the ability to drive strategic initiatives, make educated decisions and extract valuable insights from raw data, business intelligence (BI) has become a key enabler for organizational success. BI has revolutionized the way businesses operate and plan for the future in this age of intense competition and rapid technological advancement. One of the most powerful business intelligence tools available, Intellicus has provided tailored solutions to over 17,000 small and large businesses, enabling them to make data-driven decisions. Understanding Business Intelligence Business Intelligence (BI) is a technology-driven process that analyzes business data to provide actionable information that informs strategic and operational decisions. It involves collecting, storing, analyzing, and visualizing data to uncover patterns, trends, and insights that drive business performance. It combines internal and external data sources into a logical framework that helps produce insights that can be put into action. Business intelligence is a valuable resource that facilitates managers, executives and stakeholders to make informed decisions. Charlie Tjandra: I Never Get Bored of Tokopedia by Bianca Business Intelligence (BI) is a technology-driven process that analyzes business data to provide actionable information that informs strategic and operational decisions. It involves collecting, storing, analyzing, and visualizing data to uncover patterns, trends, and insights that drive business performance. Essentially, BI transforms raw data into meaningful information that empowers organizations to make data-driven decisions. The Four Pillars of Business Intelligence Data Collection and Integration: Business Intelligence starts with the compilation of information from various sources, such as social media interactions, market trends, consumer profiles and sales statistics. This data must be integrated into a single platform in order to provide a comprehensive view and analysis. Data Visualization and Analysis: BI tools analyze trends, patterns, and connections using sophisticated analytics. Visualization tools like dashboards, charts, and graphs transform complex data into understandable insights for efficient decision-making. How Tokopedia modernized its data warehouse and analytics Predictive Analytics: BI doesn’t merely focus on the present; it anticipates the future. To predict future trends, predictive analytics uses machine learning models and statistical algorithms. This makes it possible for companies to plan ahead and adapt proactively. Actionable Insights: BI aims to generate actionable insights, not just reports. These insights help optimize operations, identify new opportunities, and enhance overall performance. The Transformative Impact of Business Intelligence Improved Decision Making BI tools give businesses access to real-time data, which is essential for making timely, well-informed decisions. This eliminates the need for guesswork and intuition-based decisions in favor of data-driven ones. Additionally, BI tools, like dashboards and visualizations, present data in an understandable format, making it easier for decision-makers to quickly comprehend complex information and react to changes that may have an impact on the business. Operational Efficiency The operational efficiency of an organization can be greatly improved using business intelligence. By automating repetitive operations, BI solutions allow employees to concentrate on more important facets of the company. Furthermore, by highlighting areas in the business process that require improvement, BI tools enable firms to get rid of bottlenecks, simplify procedures and cut expenses. Customer satisfaction and service delivery are enhanced as a result. Improved Bottom Line Business Intelligence can assist companies in increasing revenue and sales by offering insightful information about consumer behavior. With the use of BI technologies, marketers can better focus their campaigns and boost sales by analyzing customer data to find trends, buying patterns and preferences. Additionally, organizations can use business intelligence to pinpoint successful consumer categories and concentrate their marketing efforts on them. Revenue growth and improved conversion rates are possible outcomes of this focused strategy. Competitive Advantage Business Intelligence provides a competitive edge in today’s data-driven world. Through the utilization of BI tools, companies can acquire comprehensive insights into the tactics, advantages and disadvantages of their rivals and utilize this data to formulate strategic plans. Similarly, it facilitates prompt market adaptation and can assist companies in recognizing customer behavior shifts and market trends. Ethical Considerations in BI The Future of Business Intelligence Advancing technology promises a bright future for BI. AI and machine learning will enhance predictive analytics, enabling businesses to foresee trends and adapt quickly. Integrating BI with emerging technologies like IoT and blockchain will unlock new dimensions of data analysis and decision-making. Conclusion Business Intelligence has evolved from being a mere buzzword to a transformative force shaping the future of businesses. It empowers organizations to navigate complexities, capitalize on opportunities, and drive growth in an increasingly data-centric world. Embracing BI isn’t just an option; it’s a necessity for businesses aspiring to thrive in today’s competitive landscape. repeating the info from intro [SD1] This doesn’t fit right here… please change the placement [SD2] Transforming Your Organization with the Power of Business Intelligence Share   Share   Share   Email   With the ability to drive strategic initiatives, make educated decisions and extract valuable insights from raw data, business intelligence (BI) has become a key enabler for organizational success. BI has revolutionized the way businesses operate and plan for the future in this age of intense competition and rapid technological advancement. One of the most powerful business intelligence tools available, Intellicus has provided tailored solutions to over 17,000 small and large businesses, enabling them to make data-driven decisions. Understanding Business Intelligence Business Intelligence (BI) is a technology-driven process that analyzes business data to provide actionable information that informs strategic and operational decisions. It involves collecting, storing, analyzing, and visualizing data to uncover patterns, trends, and insights that drive business performance. It combines internal and external data sources into a logical framework that helps produce insights that can be put into action. Business intelligence is a valuable resource that facilitates managers, executives and stakeholders to make informed decisions. Business Intelligence (BI) is a technology-driven process that analyzes business data to provide actionable information that informs strategic and operational decisions. It involves collecting, storing, analyzing, and visualizing data …

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Transforming of Power Business Intelligence

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Transforming Your Organization with the Power of Business Intelligence Share   Share What are Business Intelligence Tools and the Types of Business   Share   Email The Business Intelligence Index – Gradient Flow   With the ability to drive strategic initiatives, make educated decisions and extract valuable insights from raw data, business intelligence (BI) has become a key enabler for organizational success. BI has revolutionized the way businesses operate and plan for the future in this age of intense competition and rapid technological advancement. One of the most powerful business intelligence tools available, Intellicus has provided tailored solutions to over 17,000 small and large businesses, enabling them to make data-driven decisions. Understanding Business Intelligence Business Intelligence (BI) is a technology-driven process that analyzes business data to provide actionable information that informs strategic and operational decisions. It involves collecting, storing, analyzing, and visualizing data to uncover patterns, trends, and insights that drive business performance. It combines internal and external data sources into a logical framework that helps produce insights that can be put into action. Business intelligence is a valuable resource that facilitates managers, executives and stakeholders to make informed decisions. What are Business Intelligence Tools? Business Intelligence (BI) is a technology-driven process that analyzes business data to provide actionable information that informs strategic and operational decisions. It involves collecting, storing, analyzing, and visualizing data to uncover patterns, trends, and insights that drive business performance. Essentially, BI transforms raw data into meaningful information that empowers organizations to make data-driven decisions. The Four Pillars of Business Intelligence Data Collection and Integration: Business Intelligence starts with the compilation of information from various sources, such as social media interactions, market trends, consumer profiles and sales statistics. This data must be integrated into a single platform in order to provide a comprehensive view and analysis. Data Visualization and Analysis: BI tools analyze trends, patterns, and connections using sophisticated analytics. Visualization tools like dashboards, charts, and graphs transform complex data into understandable insights for efficient decision-making. What are Business Intelligence Tools and the Types of Business Predictive Analytics: BI doesn’t merely focus on the present; it anticipates the future. To predict future trends, predictive analytics uses machine learning models and statistical algorithms. This makes it possible for companies to plan ahead and adapt proactively. Actionable Insights: BI aims to generate actionable insights, not just reports. These insights help optimize operations, identify new opportunities, and enhance overall performance. The Transformative Impact of Business Intelligence Improved Decision Making BI tools give businesses access to real-time data, which is essential for making timely, well-informed decisions. This eliminates the need for guesswork and intuition-based decisions in favor of data-driven ones. Additionally, BI tools, like dashboards and visualizations, present data in an understandable format, making it easier for decision-makers to quickly comprehend complex information and react to changes that may have an impact on the business. The Top Business Intelligence (BI) Tools Expert Insights Operational Efficiency The operational efficiency of an organization can be greatly improved using business intelligence. By automating repetitive operations, BI solutions allow employees to concentrate on more important facets of the company. Furthermore, by highlighting areas in the business process that require improvement, BI tools enable firms to get rid of bottlenecks, simplify procedures and cut expenses. Customer satisfaction and service delivery are enhanced as a result. Improved Bottom Line Business Intelligence can assist companies in increasing revenue and sales by offering insightful information about consumer behavior. With the use of BI technologies, marketers can better focus their campaigns and boost sales by analyzing customer data to find trends, buying patterns and preferences. Additionally, organizations can use business intelligence to pinpoint successful consumer categories and concentrate their marketing efforts on them. Revenue growth and improved conversion rates are possible outcomes of this focused strategy. Competitive Advantage Business Intelligence provides a competitive edge in today’s data-driven world. Through the utilization of BI tools, companies can acquire comprehensive insights into the tactics, advantages and disadvantages of their rivals and utilize this data to formulate strategic plans. Similarly, it facilitates prompt market adaptation and can assist companies in recognizing customer behavior shifts and market trends. Ethical Considerations in BI The Future of Business Intelligence Advancing technology promises a bright future for BI. AI and machine learning will enhance predictive analytics, enabling businesses to foresee trends and adapt quickly. Integrating BI with emerging technologies like IoT and blockchain will unlock new dimensions of data analysis and decision-making. Conclusion Business Intelligence has evolved from being a mere buzzword to a transformative force shaping the future of businesses. It empowers organizations to navigate complexities, capitalize on opportunities, and drive growth in an increasingly data-centric world. Embracing BI isn’t just an option; it’s a necessity for businesses aspiring to thrive in today’s competitive landscape. repeating the info from intro [SD1] This doesn’t fit right here… please change the placement [SD2] A CMO tried Google’s AI tools and stopped using many of them Before another $100 billion or more is spent on AI chips and data centers, it may be wise to pause and consider how strong demand will be for the end products of this next wave of computing. There are already several AI-powered tools and services being used by paying customers. How are these performing? If they don’t live up to the hype, then this unprecedented investment cycle may result in “pretty woeful” economics, as Amazon CEO Andy Jassy suggested on an earnings call. Lately, there are signs that all is not well when it comes to the real-world performance of artificial intelligence. A chief information officer recently canceled an AI upgrade from Microsoft. AI-powered customer service has been “underwhelming” so far, a software engineer who used Klarna’s AI agents said. I checked in recently with a chief marketing officer who spends millions of dollars a year on digital ads and other technology. This person is a pragmatic tech optimist and early adopter. This person’s company has been trying out several Google AI services and tools. They shared some of the results with me, while …

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AI For Business Intelligence

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From recruitment to performance: AI and ML transforming HR operations The current era, known as the ‘digital age’, has seen digital transformation become a global consensus among businesses. Many experts believe that transformation has been accelerated by as much as half a decade in the wake of the pandemic, which saw digital transformation at a never-before-seen scale. This transformation is disrupting almost all industries, and human resources (HR) is no exception. In this digitised world, HR must reinvent itself. By stepping up to this challenge, HR can create immense value for both organisations and their employees. However, it is crucial to note that AI and ML are not designed to replace managers but rather to support HR decision-making. Artificial intelligence (AI) and machine learning (ML) have become prominent buzzwords in recent years, with vast potential applications in HR. AI refers to a computer program’s ability to learn and think, effectively simulating human behaviour and thought processes. ML, a subfield of AI, uses data-driven algorithms to perform complex tasks. These technologies can automate routine tasks, enhance decision-making processes, and enable HR professionals to focus on strategic initiatives. Re: HR Analytics Dashboard – Microsoft Fabric Community For example, despite the engaging nature of many jobs, repetitive tasks such as generating reports, verifying information, and analysing data will inevitably be done by AI. Utilising AI programs to perform these repetitive tasks can save time, increase productivity, and facilitate managerial decision-making. One significant area where AI and ML are transforming HR is recruitment and talent acquisition. These technologies focus on collecting and using data to make informed talent decisions. AI-powered systems can analyse vast amounts of applicant data, screen and evaluate resumes, acknowledge and reject applicants, schedule interviews, check candidates’ backgrounds, and even conduct initial interviews. By identifying patterns and matching candidates with job requirements, AI enhances the efficiency of the hiring process. Continual learning and development are essential for employees to stay competitive in today’s rapidly changing business landscape. AI and ML can personalise learning experiences by analysing individual skill gaps, learning styles, and career aspirations. Intelligent learning platforms can recommend tailored training programs, provide real-time feedback, and facilitate self-paced learning. These advancements enable HR to foster a culture of continuous learning, promote employee growth, and improve organisational performance. Traditional performance management systems are often criticised for their lack of effectiveness. AI and ML can transform this process by providing real-time feedback, objective evaluations, and data-driven insights. AI-powered systems can automate performance reviews, allowing HR professionals to focus on more strategic initiatives. HR Analytics Power bi Solution – EClytics: Business Intelligence AI’s increasing influence on HR practices is evident, but it is crucial to remember that AI is a tool dependent on human input. The effectiveness of AI systems relies on the data people provide. Additionally, AI reflects the ‘coded gaze,’ which includes the preferences, priorities, and prejudices of those who develop these technologies. Algorithms use past information to predict future outcomes and ML systems imitate human behaviour. These technologies act as invisible gatekeepers, increasingly influencing hiring decisions, employee performance assessments, and tenure decisions. Consequently, inaccurate data used by these algorithms could significantly impair someone’s career. The future is thus in the hands of software programs whose exact operations are often unknown. The absence of a human factor in these processes could lead to bias and discrimination. Organisations must ensure that AI algorithms are regularly tested and examined to identify and correct any biases that may develop over time. While the potential of AI and ML in HR is vast, addressing the ethical considerations associated with their implementation is essential. HR professionals must ensure transparency, fairness, and data privacy. Balancing human touch and technology is crucial to avoid a complete reliance on AI or ML, which could result in a loss of personal connection and empathy. HR analytics Power BI Dashboard – Data visualization dashboard In conclusion, the integration of AI and ML in HR is vital for the success of HR professionals. By staying updated on advancements in AI and ML, they can harness these technologies to drive positive change and make a significant impact on organisations. It is also important to consider how HR professionals and employees view and use AI and ML technologies. Resistance to change and job displacement are common concerns. Organisations should offer opportunities for upskilling and training to improve technological literacy. Nevertheless, the increased use of these systems without understanding their implications could negatively impact our lives. Ishraat Saira Wahid, PhD is an Assistant Professor of Business Administration & Human Resource Management at the College of Business Administration, Prince Mohammad Bin Fahd University, Kingdom of Saudi Arabia. Email: [email protected] Disclaimer: The views and opinions expressed in this article are those of the author and do not necessarily reflect the opinions and views of The Business Standard. How Darussalam Assets is tapping AI in HR operations Darussalam Assets, a holding company managing a diverse portfolio of government-linked companies in Brunei, has been leveraging the power of artificial intelligence (AI) to improve its human resources (HR) operations. Its journey began in 2016 with the implementation of SAP’s S/4Hana enterprise resource planning (ERP) suite across its portfolio companies, followed by the roll-out of the SAP SuccessFactors HR suite in 2019. The adoption of SAP SuccessFactors was a crucial step, enabling the company to streamline its learning management, performance management and recruitment management systems. More recently, Darussalam Assets has started using SuccessFactors’ business AI capabilities to automate and optimise various recruitment processes, resulting in significant time and resource savings. An AI-powered job description generator, for instance, allows hiring managers to create job postings in minutes. These postings can then be sent to the HR team for approval within a day, a process that previously took days, according to Apurv Sharma, senior manager of group information systems at Darussalam Assets. The company has also integrated SuccessFactors’ recruitment capabilities with Microsoft Teams, which allows the AI to generate interview questions based on the competencies and requirements outlined in job descriptions. When a virtual interview …

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Healthcare Business Intelligence Market Size to Reach USD 27.63 Billion

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Healthcare Business Intelligence Market Size to Reach USD 27.63 Billion By 2032, With a Growing CAGR of 14% | Research by SNS Insider SNS Insider pvt ltd The rise in electronic health records (EHRs) and the integration of big data analytics in healthcare have further propelled the adoption of BI solutions. Pune, Aug. 14, 2024 (GLOBE NEWSWIRE) — Healthcare Business Intelligence Market Size & Share: Mastering Business Intelligence: Comprehensive Guide to Concepts “According to SNS Insider Research, The Healthcare Business Intelligence (BI) Market Size was valued at US$ 9.0 Billion in 2023 and is expected to reach US$ 27.63 Billion by 2032 and grow at a CAGR of 14.0% over the forecast period 2024-2032.” Business Intelligence (BI) is well-funded in the modern software-as-a-service market. BI utilizes big data to analyze various aspects of business, uncover new profit centers, and simulate potential developments. The market growth is driven by the increasing number of patient registries, as well as technological advancements in the pharmaceutical sector. An article published by Frontiers in August 2022 highlights patient registries as a crucial data source for healthcare practices, drug utilization, and clinical outcomes. Patient registries provide epidemiological data, and standards of care, and help in overcoming patient confidentiality issues, particularly for rare diseases. This anticipated growth in patient registries is also expected to drive the uptake of health business intelligence. The healthcare BI market is growing rapidly due to the government’s initiative to increase the adoption of Electronic Health Records (EHR) and the proliferation of patient registries along with big data usage in healthcare. According to an article published by the Biomedical Journal of Scientific & Technical Research in 2021, the government is digitalizing healthcare services by incorporating EHR for better patient data management and to facilitate coordination among healthcare providers. The government is also introducing national-level policies, such as the National Digital Health Blueprint, to ensure a single digital health record across India. Additionally, institutions like Tata Memorial Hospital and Max Hospitals Private Limited have implemented electronic medical records (EMR) systems and plan to transition to EHR systems. The widespread implementation of BI across the healthcare industry, alongside its associated benefits, is expected to further drive market expansion. Get a Sample Report of Healthcare Business Intelligence (BI) Market@ https://www.snsinsider.com/sample-request/2089 What is Business Intelligence? – BI Definition – TechnologyAdvice Major Players Listed in this Report are: Healthcare Business Intelligence (BI) Market Report Scope: Report Attributes Details What Is Business Intelligence (BI)? Types, Benefits, and Examples Market Size in 2023 US$ 9.0 Billion Market Size by 2032 US$ 27.63 Billion CAGR CAGR of 14.0% From 2024 to 2032 Base Year 2023 Forecast Period 2024-2032 Historical Data 2020-2022 Key Regional Coverage North America (US, Canada, Mexico), Europe (Eastern Europe [Poland, Romania, Hungary, Turkey, Rest of Eastern Europe] Western Europe] Germany, France, UK, Italy, Spain, Netherlands, Switzerland, Austria, Rest of Western Europe]), Asia Pacific (China, India, Japan, South Korea, Vietnam, Singapore, Australia, Rest of Asia Pacific), Middle East & Africa (Middle East [UAE, Egypt, Saudi Arabia, Qatar, Rest of Middle East], Africa [Nigeria, South Africa, Rest of Africa], Latin America (Brazil, Argentina, Colombia, Rest of Latin America) Key Growth Drivers •The Increasing Integration of EHR Systems Across Healthcare Facilities Is Driving the Demand for Business Intelligence (BI) Tools that can Analyze Large Volumes of Patient Data, Improve Decision-Making, and Enhance Patient Outcomes.•The Shift Towards Value-Based Care and Personalized Medicine has Led to an Increased Focus on Healthcare Analytics. Bi Tools are Crucial in Analyzing Patient Data, Predicting Trends, And Enabling More Effective Management of Resources and Treatments. Do you have any specific queries or need any customization research or data on Healthcare Business Intelligence (BI) Market, Make an Enquiry Now@ https://www.snsinsider.com/enquiry/2089 Segmentation Dynamics In 2023, healthcare payers held the largest revenue share at 40%. Market growth is being driven by the increasing need to enhance provider networks, the implementation of various healthcare business intelligence (BI) tools to reduce operational costs, and rising competition among payers. Additionally, the growing emphasis on increasing memberships and minimizing fraud claims is pushing payers to adopt BI solutions to manage their operational expenses more effectively. During the forecast period, the healthcare manufacturers segment is expected to experience significant market growth. The large number of pharmaceutical and medical device manufacturers in both developed and emerging economies has been contributing to rapid revenue generation. Meanwhile, healthcare manufacturers are increasingly turning to SaaS software to reduce maintenance and development costs, which is anticipated to further drive the market. Furthermore, customer analytics tools such as direct marketing and Customer Relationship Management (CRM) dashboards are helping various vendors, including hospitals, government bodies, and employers’ private exchangers, to become more efficient in terms of revenue growth and cost savings. This, in turn, is expected to drive the uptake of business intelligence tools by vendors. Healthcare Business Intelligence (BI) Market Key Segmentation: By Component By Mode of Delivery On-premise Cloud-based Hybrid By Application Financial Analysis Operational Analysis Clinical Analysis Patient Care By End User Payers Providers Healthcare Manufacturers Regional Insights North America accounted for the largest revenue share of 48% in 2023, mainly due to the increased implementation of BI solutions and services in healthcare aiming to offer enhanced patient care. The presence of large manufacturing hubs and reduced expenses are also key factors driving regional growth. Additionally, the constant upgrading of healthcare and IT infrastructure, along with increased adoption of cloud computing, has contributed to the growth. In 2023, the U.S. accounted for the highest revenue share in the North American market due to its high adoption of advanced BI technology, changing analytics protocols, easy availability of BI infrastructure, and a professional BIG data crowd. On the other hand, Asia Pacific is expected to be the most lucrative regional market in the forecast period due to increasing awareness about BI tools among healthcare providers and organizations, driven by government initiatives. The regional market growth is also attributed to the increased penetration of mobile-based solutions and the implementation of technologically advanced BI solutions in countries including India, China, and Japan. Recent …

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Major economist delivers hard-nosed message to Fed

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Major economist delivers hard-nosed message to Fed Interest-rate futures show a 62.5% chance that the Fed opts for 25 points and a 37.5% chance that it chooses 50 points, according to CME FedWatch. For what it’s worth, my own opinion, formed from 40 Steps to Starting a Business While Keeping Your Full-Time Job Major economist delivers hard-nosed message to Fed Interest-rate futures show a 62.5% chance that the Fed opts for 25 points and a 37.5% chance that it chooses 50 points, according to CME FedWatch. For what it’s worth, my own opinion, formed from 40 Major economist delivers hard-nosed message to Fed How to pick the right business partner for your own success Interest-rate futures show a 62.5% chance that the Fed opts for 25 points and a 37.5% chance that it chooses 50 points, according to CME FedWatch. For what it’s worth, my own opinion, formed from 40 Major economist delivers hard-nosed message to Fed Interest-rate futures show a 62.5% chance that the Fed opts for 25 points and a 37.5% chance that it chooses 50 points, according to CME FedWatch. For what it’s worth, my own opinion, formed from 40 What Is a Business? Understanding Different Types and Company Sizes Major economist delivers hard-nosed message to Fed Interest-rate futures show a 62.5% chance that the Fed opts for 25 points and a 37.5% chance that it chooses 50 points, according to CME FedWatch. For what it’s worth, my own opinion, formed from 40 Business Skills You Need to Have Major economist delivers hard-nosed message to Fed Interest-rate futures show a 62.5% chance that the Fed opts for 25 points and a 37.5% chance that it chooses 50 points, according to CME FedWatch. For what it’s worth, my own opinion, formed from 40 Major economist delivers hard-nosed message to Fed Interest-rate futures show a 62.5% chance that the Fed opts for 25 points and a 37.5% chance that it chooses 50 points, according to CME FedWatch. For what it’s worth, my own opinion, formed from 40 Major economist delivers hard-nosed message to Fed Interest-rate futures show a 62.5% chance that the Fed opts for 25 points and a 37.5% chance that it chooses 50 points, according to CME FedWatch. For what it’s worth, my own opinion, formed from 40

Artificial Intelligence Stocks: The 10 Best AI Companies

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Artificial Intelligence Stocks: The 10 Best AI Companies Artificial intelligence, automation and robotics are disrupting virtually every industry. Remarkable advances in AI technology — including OpenAI’s ChatGPT AI chatbot, GitHub’s Copilot AI code generation software and Google’s Gemini AI model — are now familiar names for many. [Sign up for stock news with our Invested newsletter.] Whether it be machine learning, large language models, smart applications and appliances, digital assistants, synthetic media software, or autonomous vehicles, companies that aren’t investing in AI products and services risk becoming obsolete. Countless companies stand to benefit from AI, but a handful of stocks have AI and automation as a central part of their businesses. Here are 10 of the best AI stocks to buy, according to Argus: Important Power BI Features That Can Benefit Your Business – Big Stock Implied upside over Aug. 8 closing price Microsoft Corp. (ticker: MSFT) 30.6% Alphabet Inc. (GOOG, GOOGL) 23.4% Amazon.com Inc. (AMZN) 23.6% Nvidia Corp. (NVDA) 42.9% Meta Platforms Inc. (META) 17.7% Taiwan Semiconductor Manufacturing Co. Ltd. (TSM) 21.5% Adobe Inc. (ADBE) 27.3% ASML Holding NV (ASML) 42.6% International Business Machines (IBM) 17.8% Arista Networks Inc. (ANET) 16.6% Microsoft Corp. (MSFT) Microsoft has invested $13 billion in OpenAI and has integrated ChatGPT into its Bing search engine. Microsoft has also combined all its AI copilots into a single AI experience called Microsoft Copilot. In May, the company published its inaugural Responsible AI Transparency Report, publicly detailing the company’s AI practices, spelling out its AI goals and highlighting its accountability initiatives. Analyst Joseph Bonner says Microsoft is investing heavily in AI via both internal development and outside stakes in AI startups. Microsoft CEO Satya Nadella aims to prioritize generative AI opportunities. Argus has a “buy” rating and $526 price target for MSFT stock, which closed at $402.69 on Aug. 8. Alphabet Inc. (GOOG, GOOGL) Power BI – Data Visualization Microsoft Power Platform Google and YouTube parent company Alphabet uses AI and automation in virtually every facet of its business, from ad pricing to content promotion to Gmail spam filters. Google launched its Bard AI chatbot in March 2023. In December 2023, Google announced Gemini, its most capable and expansive AI model ever. In May, Google launched AI Overview, a service that provides AI-generated summaries on the top of Google search results. Bonner says Google is working to integrate its Gemini advanced AI model throughout its tech stack. Argus has a “buy” rating and $200 price target for GOOGL stock, which closed at $162.03 on Aug. 8. Amazon.com Inc. (AMZN) Amazon has integrated AI into every aspect of its business, including targeted advertisements, marketplace search and recommendation algorithms, and Amazon Web Services (AWS). Amazon offers a wide range of AI and machine learning services to its AWS cloud customers, including advanced text analytics, automated code reviews and chatbots. Amazon is reportedly investing $100 billion over the next decade in building a network of AWS data centers that can handle the tremendous AI workload. Analyst Jim Kelleher says the push for AI cloud services has reinvigorated AWS. Argus has a “buy” rating and $205 price target for AMZN stock, which closed at $165.80 on Aug. 8. Nvidia Corp. (NVDA) Power BI – Data Visualization Microsoft Power Platform High-end chipmaker Nvidia provides the massive processing power needed to run advanced AI applications. Nvidia has been one of the best-performing stocks in the entire market in recent years, and it’s largely due to the company’s AI exposure. CEO Jensen Huang recently announced Nvidia will begin designing and rolling out new AI chips on an annual basis rather than the two-year chip refresh cycles it has used in the past. Kelleher says Nvidia’s Blackwell platform enables generative AI on trillion-parameter large language models. Argus has a “buy” rating and $150 price target for NVDA stock, which closed at $104.97 on Aug. 8. Meta Platforms Inc. (META) Meta Platforms is a market leader in social media and online advertising and is the parent company of Facebook, Instagram and other platforms. Meta is reportedly planning to release free AI customer-relations chatbots for businesses on its WhatsApp messaging platform. The move will be a test of CEO Mark Zuckerberg’s bold strategy to make Meta’s AI technology free and open to the public in an effort to gain market share and drive down competitors’ prices. Bonner says Zuckerberg has repeatedly built large customer bases and then effectively monetized them. Argus has a “buy” rating and $600 price target for META stock, which closed at $509.63 on Aug. 8. [READ: Are We in an AI Bubble?] Power BI – Data Visualization Microsoft Power Platform Taiwan Semiconductor Manufacturing Co. Ltd. (TSM) Taiwan Semiconductor Manufacturing is the world’s largest pure-play semiconductor foundry. TSM manufactures all the advanced AI semiconductors for Nvidia and other AI chipmakers. In June, CEO C.C. Wei said AI-driven demand makes him “very optimistic” about Taiwan Semiconductor’s outlook for the next several years. Kelleher says AI technology moving into the mainstream, coupled with lower inflation and a rebound in electronic device demand, will support solid revenue growth for TSM. The company expects global semiconductor market demand will grow 10% overall in 2024. Argus has a “buy” rating and $200 price target for TSM stock, which closed at $164.55 on Aug. 8. Adobe Inc. (ADBE) Adobe produces creative content software and other applications used for marketing and e-commerce. The company’s Firefly generative machine learning model is generating customer interest across Photoshop, Illustrator and other platforms. Adobe has also applied its Sensei AI and machine learning technology to its Adobe Analytics, Campaign and Target products. Adobe recently said it will not train its AI models on users’ content after artists accused the company of selling AI imitations of their work. Bonner says Adobe will continue to integrate additional AI features across its product set. Argus has a “buy” rating and $675 price target for ADBE stock, which closed at $530.24 on Aug. 8. ASML Holding NV (ASML) ASML produces photolithography systems and other processing equipment used in semiconductor …

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Hidden Apple Intelligence Features Revealed

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Hidden Apple Intelligence Features Revealed Apple’s latest iOS 18.1 beta 2 update brings a suite of advanced AI-driven features for Apple Intelligence designed to transform your user experience. These hidden gems leverage Apple’s innovative AI technology to automate tasks, enhance communication, and create personalized content, ultimately streamlining your daily interactions with your device. Let’s dive into the details of these innovative features. Smart Reply: Effortless Email and Message Responses The Smart Reply feature in iOS 18.1 takes the hassle out of responding to emails and messages. Intelligently analyzing the content of your incoming communications suggests complete, contextually relevant replies. Whether you receive an email requesting a meeting confirmation or a message asking for your availability, Smart Reply offers appropriate responses like “Yes, that works for me” or “Can we reschedule?” With just a tap, you can send a thoughtful reply, saving you valuable time and effort. Microsoft Business Intelligence – Business Excellence Call Recording and Transcription: Never Miss a Detail iOS 18.1 introduces an innovative Call Recording feature in Apple Intelligence, that allows you to record phone calls directly on your iPhone. These recordings are conveniently saved in the Notes app, where you can also take synchronized notes during the call. But that’s not all – the feature also includes call transcription, allowing you to read through the entire conversation later. This proves invaluable for business calls, interviews, or any situation where you need to refer back to specific details mentioned during the call. Reduce Interruptions Focus Mode: Stay Focused with Smart Notifications The Reduce Interruptions Focus Mode of Apple Intelligence, harnesses the power of AI to intelligently manage your notifications, ensuring that only essential alerts break through when you need to concentrate. What sets this mode apart is its ability to highlight important notifications even when active. This means you can stay focused on your tasks without fear of missing critical updates. Whether it’s a reminder from your calendar or a message from an important contact, the AI ensures you receive the notifications that matter most. Microsoft Power BI solution connect reports Business intelligence Summaries: Bypass Paywalls and Ads for Streamlined Reading The Summaries feature is a catalyst for avid readers and busy professionals alike. It provides concise text summarization for emails and web articles, allowing you to quickly grasp the key points without wading through lengthy content. But here’s the kicker – it can even bypass paywalls and ads in Safari, giving you a clean, ad-free reading experience. Whether you’re catching up on the latest news or skimming through a lengthy email thread, Summaries ensures you get the essential information without any distractions. Create a Memory: Effortless Personalized Movies With the Create a Memory feature, you can effortlessly generate stunning memory movies from your photos and videos. Simply describe the event or theme, and let the AI work its magic. It intelligently compiles relevant media from your library, creating a personalized movie that captures the essence of your memories. Whether it’s a vacation highlight reel, a family gathering montage, or a special occasion tribute, Create a Memory takes the hassle out of manual editing, allowing you to relive and share your precious moments with ease. Microsoft readies new free version of its Power BI business Type to Siri: Silent Interaction with Your Virtual Assistant The Type to Siri feature introduces a new way to interact with your virtual assistant. Instead of relying solely on voice commands, you can now communicate with Siri through typed queries. This proves incredibly useful in situations where speaking is not possible or appropriate, such as in a quiet library or during a meeting. Simply type your request, whether it’s setting a reminder, sending a message, or searching for information, and Siri will silently assist you without disrupting your surroundings. iOS 18.1’s hidden Apple Intelligence features mark a significant leap forward in mobile AI capabilities. By seamlessly integrating these advanced technologies into your daily interactions, Apple empowers you to: Streamline communication with Smart Reply and Call Recording Stay focused with intelligent notification management in Reduce Interruptions Focus Mode Enjoy ad-free, summarized content with Summaries Create personalized memory movies effortlessly with Create a Memory Interact silently with Siri using Type to Siri Power BI – Data Visualization Microsoft Power Platform These features showcase Apple’s commitment to pushing the boundaries of what your iPhone can do, making everyday tasks more efficient, enjoyable, and tailored to your needs. With iOS 18.1 beta 2, you can experience the future of Apple Intelligence, where your device becomes an even more intelligent and intuitive companion in your daily life. Source & Image Credit: iDB Filed Under: Apple, Apple iPhone, Top News Latest Geeky Gadgets Deals The best business intelligence (BI) software in Zapier Disclosure: Some of our articles include affiliate links. If you buy something through one of these links, Geeky Gadgets may earn an affiliate commission. Learn about our Disclosure Policy. How artificial intelligence private equity performed in the power industry in Q2 2024 In value terms, artificial intelligence-related deal activity decreased in Q2 2024 compared with the previous quarter and as compared to Q2 2023. Related deal volume remained flat in Q2 2024 versus the previous quarter. For further understanding of GlobalData’s Power Industry Mergers and Acquisitions Deals by Top Themes in Q2 2024 – Thematic Intelligence, buy the report here. This content was updated on 26 July 2024 From The gold standard of business intelligence. Blending expert knowledge with cutting-edge technology, GlobalData’s unrivalled proprietary data will enable you to decode what’s happening in your market. You can make better informed decisions and gain a future-proof advantage over your competitors. Be better informed GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article. GlobalData’s Deals Database tracks global deal activity, including mergers, acquisitions, capital raising, strategic alliances, and licensing agreements. Proprietary analysis is used to group deals into key thematic areas and granular sectors across the world’s largest industries. This analysis considers only announced and completed deals from the GlobalData financial deals database and excludes all terminated and rumoured …

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Oracle 23ai: The Database Just Got a Brain

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Oracle 23ai: The Database Just Got a Brain The database world is undergoing a renaissance. Fueled by the rise of Large Language Models, hybrid cloud data management, and the explosion of data-driven applications, databases are once again at the forefront of technological innovation. Yet, this resurgence comes at a time of unprecedented challenges. The relentless onslaught of data and the ever-present threat of cyberattacks have stretched database professionals to their limits. Oracle, a behemoth in the database landscape, has responded with a daring gambit: Oracle Database 23ai. This isn’t merely an update; it’s a full-blown integration of AI and machine learning directly within the database engine. Introducing Oracle Business Intelligence Mobile – g Release “We’re injecting AI into the database engine to make it easier and, in some ways, more bulletproof,” declares Jenny Tsai, Oracle’s senior vice president for overall database product management. Database made simple Redefining simplicity through convergence Oracle 23ai, previously born as Oracle 23c, is not your grandfather’s relational database. It’s a converged database that seamlessly handles various data types — JSON documents, graph data, and spatial data — all under one data-laden roof. This unified approach streamlines data architecture, eliminating the need for a patchwork of disparate database engines and the integration headaches that follow it. Critical features like JSON Relational Duality empower developers to retrieve and store data using JSON effortlessly. At the same time, the Operational Property Graph enables them to build applications that navigate complex data relationships quickly. The result? Unprecedented choice and simplicity. Introducing Oracle Business Intelligence Mobile As Tsai points out, “The more different kinds of database engines you have to manage and try to integrate, the more complex your architecture is going to become.” Vectors now have one home GenAI has thrust vector databases into the limelight. These databases store and provide lightning-fast access to structured and unstructured data alongside vector embeddings, the numerical representations of data’s semantic meaning. They act as the external brain for many stateless LLMs, providing state, mitigating hallucinations, and underpinning Retrieval-Augmented Generation (RAG). Oracle 23ai introduces a native VECTOR data type optimized for storing and searching vector data, which is “very easy for anybody [with a data science background] to select statements and do similarity search.” Introducing Oracle Business Intelligence Enterprise Edition You can even import ONNX-compatible embedding models directly into the database, generating vector embeddings on the fly using SQL, allowing you to create vector embeddings directly within the Oracle Database using SQL. Powered and optimized by English One of the most transformative aspects of Oracle 23ai is its natural language interface. Gone are the days of wrestling with complex SQL queries. Now, you can ask questions in plain English and get intelligent answers, thanks to the infusion of GenAI into the database engine. But it’s not just about spitting out the right answers; it’s also about optimizing the entire database experience. AI-powered insights, automatic SQL tuning, and personalized recommendations for DBAs and developers remove the drudgery of manual tasks, freeing up time for strategic initiatives. Introducing Oracle Business Intelligence Enterprise Edition Tsai envisions a future where “tuning is no longer a job that the DBA has to do.” Instead, DBAs can focus on higher-value tasks like data stewardship and strategic planning. Pssst, there’s a firewall inside One of the most striking features of Oracle 23ai is the introduction of the In-Database SQL Firewall. SQL injection attacks have been a bane for DBAs for years, and Oracle’s response is to bring the fight directly to the data’s doorstep. Tsai explains, “To really protect the data in the database, it’s best to have something sitting right inside the database.” This isn’t just a theoretical advantage; it’s a practical one. The in-database firewall is trained on legitimate SQL statements, allowing it to identify and block malicious queries accurately. It inspects, evaluates, and blocks database connections and SQL statements without the associated performance overhead. This is not new. Oracle Database Firewall has been around for over a decade. But it was installed on the network to monitor SQL transactions. Now, it comes as part of the database itself (and its license), making Oracle 23ai secure once you spin it up. Oracle 23ai is also not resting. It monitors your database, automatically flagging unusual activity that might indicate performance issues or security threats. This proactive approach means DBAs can resolve potential problems before mushrooming into full-blown catastrophes. Embracing a thinking future Oracle 23ai isn’t just a database; it’s Oracle’s renewed vision for the future, where AI is seamlessly integrated into the core of data management and databases become pillars of innovation. The launch of Oracle 23ai also marks a profound shift in the database landscape. It’s a realization that the database world has changed, and it’s a resounding declaration that Oracle’s ambitions are to lead the charge into this new era. As Tsai confidently states, “It’s gonna get better.” The new slew of features makes sense for AI-minded customers. Although Tsai notes that the migration path will be smooth and tooled up (it also has a free version), customers will still vote with their wallets. But simplicity is a powerful argument and very persuasive for resource-hungry enterprises. The pressure is now on competitors to match Oracle’s innovation and simplicity. Whatever it is, the race to define the future intelligent database has begun. Game on, DBAs! Image credit: iStockphoto/AntonioSolano Oracle 23ai: The Database Just Got a Brain The database world is undergoing a renaissance. Fueled by the rise of Large Language Models, hybrid cloud data management, and the explosion of data-driven applications, databases are once again at the forefront of technological innovation. Yet, this resurgence comes at a time of unprecedented challenges. The relentless onslaught of data and the ever-present threat of cyberattacks have stretched database professionals to their limits. Oracle, a behemoth in the database landscape, has responded with a daring gambit: Oracle Database 23ai. This isn’t merely an update; it’s a full-blown integration of AI and machine learning directly within the database engine. “We’re injecting AI into …

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PowerDMARC Integrates with SecLytics for Advanced Predictive Threat Intelligence Analysis

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PowerDMARC Integrates with SecLytics for Advanced Predictive Threat Intelligence Analysis PowerDMARC Provides Clients and Partners with Advanced Predictive Threat Intelligence Analysis through integration with SecLytics. Middletown, Delaware, United States – August 14, 2024 — PowerDMARC, a leader in AI-powered email authentication and domain security solutions, is excited to announce its integration with SecLytics, a pioneering cybersecurity company known for its expertise in predictive threat intelligence. The integration enhances PowerDMARC’s platform, offering users advanced detection and predictions on existing and emerging cyber threats. Business Intelligence Companies to Watch Out for in Predictive threat intelligence analysis is a game-changer in cybersecurity, enabling organizations to proactively prepare for potential threats by analyzing patterns and trends. PowerDMARC’s enhanced platform capabilities will allow users to: Gain deeper insights into current and future cyber threats.Prioritize threats based on their severity.Optimize their resources for better incident response. Key Features and Benefits Risk Security Score: The integration introduces a comprehensive risk evaluation score for IP addresses. This allows users to quickly assess the threat level.Detailed Predictive Threat Intelligence Analysis Report: The detailed SecLytics report that users can directly access on the PowerDMARC portal is a granular overview of the risk categories, reporting period, and historic threat data associated with the predicted IP. Insight into Current & Emerging Threats: With real-time data from SecLytics, PowerDMARC users can monitor and analyze both existing and new cyber threats, ensuring they are always one step ahead.Identification of Attack Patterns and Trends: The PowerDMARC platform now offers enhanced visibility into attack patterns and trends. This includes evaluation of annual and historic IP address activity, to determine the degree of harm associated with it over an extended period. Microsoft Power BI Data Visualization Business intelligence How Predictive Threat Intelligence Enhances PowerDMARC’s Platform PowerDMARC’s advanced cybersecurity SaaS platform already uses state-of-the-art Threat Intelligence Technologies including Threat Mapping and FCrDNS checks. With this integration, PowerDMARC can now deliver even more powerful threat intelligence capabilities to its users and partners! When users visit the PowerDMARC Threat Intelligence page, they will find new features powered by SecLytics, including a detailed risk evaluation score for IP addresses, threat intelligence analysis reports, and predictive analysis of malicious IP addresses. Organizations and government entities can now unlock the power of advanced predictive threat intelligence data on the PowerDMARC platform. The feature is also available to PowerDMARC’s DMARC MSP partners. To learn more, speak to an expert or book a demo today! Power BI – Data Visualization Microsoft Power Platform About the company: PowerDMARC is a domain security and email authentication SaaS platform that helps organizations protect their domain name, brand, and emails against spoofing, impersonation, ransomware, and other forms of unauthorized use. PowerDMARC provides a complete suite of hosted email security protocols such as DMARC, SPF, DKIM, BIMI, MTA-STS, and TLS-RPT, along with simplified reporting integrated with AI-powered Threat Intelligence. It helps organizations gain visibility on their email channels and combat cyber attacks. PowerDMARC supports over 2000 organizations from Fortune 100 companies, to governments that span more than 80 countries. The PowerDMARC platform is DMARC MSP/MSSP ready, with multi-tenancy support along with Whitelabel. PowerDMARC has 1000+ channel partners worldwide and is SOC2 Type 2, ISO 27001 Certified, and GDPR compliant. Contact Info: Name: Ahona RudraEmail: Send EmailOrganization: PowerDMARCWebsite: https://powerdmarc.com Video URL: https://www.youtube.com/watch?v=p-aIkDL6v2k Release ID: 89138315 Power BI – Data Visualization Microsoft Power Platform If you encounter any issues, discrepancies, or concerns regarding the content provided in this press release that require attention or if there is a need for a press release takedown, we kindly request that you notify us without delay at error@releasecontact.com (it is important to note that this email is the authorized channel for such matters, sending multiple emails to multiple addresses does not necessarily help expedite your request). Our responsive team will be available round-the-clock to address your concerns within 8 hours and take necessary actions to rectify any identified issues or guide you through the removal process. Ensuring accurate and reliable information is fundamental to our mission. Transforming Your Organization with the Power of Business Intelligence Share   Share   Share   Email   With the ability to drive strategic initiatives, make educated decisions and extract valuable insights from raw data, business intelligence (BI) has become a key enabler for organizational success. BI has revolutionized the way businesses operate and plan for the future in this age of intense competition and rapid technological advancement. One of the most powerful business intelligence tools available, Intellicus has provided tailored solutions to over 17,000 small and large businesses, enabling them to make data-driven decisions. Understanding Business Intelligence Business Intelligence (BI) is a technology-driven process that analyzes business data to provide actionable information that informs strategic and operational decisions. It involves collecting, storing, analyzing, and visualizing data to uncover patterns, trends, and insights that drive business performance. It combines internal and external data sources into a logical framework that helps produce insights that can be put into action. Business intelligence is a valuable resource that facilitates managers, executives and stakeholders to make informed decisions. Business Intelligence (BI) is a technology-driven process that analyzes business data to provide actionable information that informs strategic and operational decisions. It involves collecting, storing, analyzing, and visualizing data to uncover patterns, trends, and insights that drive business performance. Essentially, BI transforms raw data into meaningful information that empowers organizations to make data-driven decisions. The Four Pillars of Business Intelligence Data Collection and Integration: Business Intelligence starts with the compilation of information from various sources, such as social media interactions, market trends, consumer profiles and sales statistics. This data must be integrated into a single platform in order to provide a comprehensive view and analysis. Data Visualization and Analysis: BI tools analyze trends, patterns, and connections using sophisticated analytics. Visualization tools like dashboards, charts, and graphs transform complex data into understandable insights for efficient decision-making. Predictive Analytics: BI doesn’t merely focus on the present; it anticipates the future. To predict future trends, predictive analytics uses machine learning models and statistical algorithms. This makes it possible for companies …

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software business intelligence SAP

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SAP Unveils On-Demand Business Intelligence Toolset software business intelligence SAP SAP, which acquired Business Objects in early 2008, already offers hosted versions of its business intelligence tools. But the new software is SAP’s first real multi-tenant, Software-as-a-Service business intelligence application, said James Thomas, vice president of product management for SAP business intelligence tools. SAP BusinessObjects BI OnDemand ties together the vendor’s business intelligence software portfolio into a SaaS package using the BusinessObjects Explorer tool for searching and visualizing large data sets. Thomas said companies that deploy the service could expand the number of employees, particularly those in customer-facing jobs, who use business intelligence. SAP BusinessObjects Enterprise BI The new software provides opportunities for SAP channel partners as well. Solution providers can expand their sales to existing customers, as well as use the product to attract new customers — especially SMBs, said Anil Chitkara, senior vice president of market development at Oco, an SAP channel partner. “The sweet spot for on-demand business intelligence is really in the midmarket and upper-midmarket,” he said. Oco will combine its pre-built industry and line-of-business analytic applications with SAP BusinessObjects BI OnDemand. Chitkara called the new SAP software the first “enterprise-quality SaaS” product from a leading business intelligence vendor and said it provides channel partners more opportunities to develop value-added services. One example: Helping clients connect on-premise and cloud-based systems. “Customers have more power to integrate the data,” he said. SAP is “really making VARs the primary sales channel for this product,” Thomas said, noting that all SAP PartnerEdge program members are eligible to sell the new on-demand product. SAP BusinessObjects BI Platform A free version of the on-demand software, with limited scalability, is available from SAP today, Thomas said. Later this quarter an Essential Edition that works with on-premise data will be available followed by an Advanced Edition that works with both on-premise and on-demand data. SAP BusinessObjects BI platform can be accessed remotely A critical authentication vulnerability allows hackers to remotely invade and completely abuse the SAP BusinessObjects Business Intelligence platform. The ERP and cloud giant has since fixed this issue along with 16 other vulnerabilities. According to SAP’s monthly security release, this critical vulnerability allows hackers to compromise the SAP BusinessObjects BI suite remotely. For affected companies, this has a huge impact on their reliability, integrity and availability, according to SAP. SAP Business One Business Intelligence and Analytics – ZAP BI This is possible on the platform’s versions 430 and 440. More specifically, the critical vulnerability CVE-2024-41730 found involves a “missing authentication check” bug. When Single Sign On for Enterprise authentication is enabled within the SAP BusinessObjects BI platform, hackers can obtain a login token using a REST-based endpoint. Hackers can then fully penetrate and compromise the system. Second critical vulnerability In addition to this vulnerability, another critical flaw, CVE-2024-29415, has been found in SAP systems. This is a server-side request forgery flaw in SAO Build Apps older than version 4.11.130. It involves a vulnerability in the IP package for Node.js, which checks whether a specific IP address is public or private. Because of the flaw, the IP address “127.0.0.1” is sometimes incorrectly recognized as a public and globally routable address. Fourteen other vulnerabilities fixed In addition to these two critical vulnerabilities, SAP also released fixes for quite a few others. These include vulnerabilities found in the SAP BEx Web Java Runtime Export Web Service, SAP S4/HANA, SAP NetWeaver AS Java, and SAP Commerce Cloud, among others. The ERP and cloud giant calls on its solutions’ users to install the patches immediately. Also read: SAP sees 33% increase in Cloud ERP revenue SAP Releases Security Patch for 17 Vulnerabilities Including ‘Missing Authentication Check’ Bug SAP has rolled out a critical security update addressing 17 vulnerabilities, including two high-severity flaws that could potentially lead to severe consequences for organizations. The most critical issue, CVE-2024-41730, could allow unauthorized access to SAP BusinessObjects Business Intelligence Platform systems. Critical Authentication Bypass Vulnerability (Photo : Vipul Jha from Unsplash) A new SAP security patch update was released this month to fix the flaw where remote attackers bypass authentication on the system: missing authentication check bug. One of the most concerning issues resolved in this patch is the critical vulnerability tracked as CVE-2024-41730. This flaw, rated 9.8 on the CVSS v3.1 scale, is classified as a “missing authentication check” bug. It impacts SAP BusinessObjects Business Intelligence Platform versions 430 and 440, and under specific conditions, it can be exploited by remote attackers. If Single Sign-On (SSO) is enabled on Enterprise authentication, an unauthorized user could obtain a logon token using a REST endpoint, effectively bypassing authentication and gaining full access to the system. This vulnerability could potentially expose sensitive data and critical business operations to malicious actors. Related Article: Almost 2.7 Billion Data Records From National Public Data Leaked in Hacking Forum Server-Side Request Forgery in SAP Build Apps According to Bleeping Computer, another critical issue addressed in this update is CVE-2024-29415, a server-side request forgery (SSRF) flaw found in SAP Build Apps versions older than 4.11.130. With a CVSS v3.1 score of 9.1, this vulnerability poses a significant threat to SAP applications. The flaw arises from a weakness in the ‘IP’ package for Node.js, which incorrectly identifies the IP address ‘127.0.0.1’ as public and globally routable when expressed in octal notation. This incorrect classification can allow attackers to manipulate IP addresses, leading to unauthorized access and potential exploitation of the system. This vulnerability is a result of an incomplete fix for a similar issue, CVE-2023-42282, which left some cases vulnerable to exploitation. High-Severity Vulnerabilities in SAP Products In addition to the critical vulnerabilities, SAP’s August 2024 security bulletin also addresses several high-severity issues, with CVSS v3.1 scores ranging from 7.4 to 8.2. These include: CVE-2024-42374: An XML injection vulnerability in SAP BEx Web Java Runtime Export Web Service, affecting versions BI-BASE-E 7.5, BI-BASE-B 7.5, BI-IBC 7.5, BI-BASE-S 7.5, and BIWEBAPP 7.5. CVE-2023-30533: A prototype pollution flaw in SAP S/4 HANA’s Manage Supply Protection module, impacting library versions of SheetJS …

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How to create Excel dashboards with Claude

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How to create Excel dashboards with Claude 3 AI in minutes If you are looking for a fast and efficient way to create Excel dashboards to present your data in presentations or reports. You might be interested to know that you can use the power of Claude 3 AI to help create these Excel interactive dashboards just a few minutes. Saving you hours of time which can be spent more wisely. Creating interactive dashboards has become an essential skill and by using Claude 3 AI, a powerful artificial intelligence tool, this process has been streamlined and simplified. This guide created by the team over at My Online Training Hub will walk you through the capabilities of Claude 3 AI, the steps involved in creating an Excel dashboard. As well as highlighting important considerations to keep in mind when doing so to make the process as simple and straightforward as possible to get the best results. Creating Excel Dashboards with AI Design refreshable reports in Excel with Power BI data – Power BI Key Takeaways : Claude 3 AI simplifies the creation of interactive Excel dashboards. Developed by Anthropic with support from Google and Amazon. Accessible via a web browser and free to use. Enabling the Artifacts feature is crucial for generating visual content. Steps to create a dashboard: Upload data file, prompt analysis, generate code. Dashboards are interactive with tooltips and hover effects. Customization options include changing color themes and design elements. Limitations: Data volume limit (30 MB, 1,000 rows), limited customization, data security concerns, limited integration, need for output verification. Alternatives: Excel with AI assistance, Power BI for more robust features and larger data sets. Understanding manual dashboard creation and exploring tools like Power BI can enhance data analysis skills. Understanding the Power of Claude 3 AI Claude 3 AI is a catalyst in the realm of data visualization. Its robust features and user-friendly interface make it an ideal choice for professionals and beginners alike. Some key advantages of using Claude 3 AI include: Accessibility: Claude 3 AI is accessible via a web browser and is free to use, making it widely available to anyone with an internet connection. Versatility: The tool supports various file formats, allowing users to input data from different sources seamlessly. Intelligent Suggestions: Claude 3 AI analyzes uploaded data and suggests appropriate visualizations, saving time and effort in the dashboard creation process. Code Generation: The AI generates the necessary HTML, CSS, and JavaScript code for the dashboard, eliminating the need for manual coding. Excel dashboards with Claude 3 AI in minutes Data Visualization with Excel and Power BI Microsoft Power BI Here are a selection of other articles from our extensive library of content you may find of interest on the subject of improving your skills with Excel spreadsheets : To unlock the full potential of Claude 3 AI, users must enable the Artifacts feature. This feature is essential for generating visual elements such as charts and graphs. Activating it is a simple process that can be done through the settings of the Claude 3 AI interface. Step-by-Step Guide to Excel Dashboard Creation with AI Creating a dashboard with Claude 3 AI involves a straightforward workflow. Follow these steps to transform your data into an interactive visual masterpiece: Create Excel workbooks with refreshable Power BI data – Power BI Upload Your Data File: Begin by uploading your data file to Claude 3 AI. The tool supports a wide range of file formats, ensuring compatibility with your data. Prompt Analysis: Once the data is uploaded, prompt Claude 3 AI to analyze it and suggest suitable visualizations. The AI can generate various types of charts, including bar charts, pie charts, trend lines, and scatter plots, based on the nature of your data. Generate Code: Claude 3 AI will then generate the HTML, CSS, and JavaScript code required to build your interactive dashboard. This code serves as the foundation for a fully functional and visually appealing dashboard. The resulting dashboard will be interactive, featuring tooltips and hover effects to enhance user engagement. You can easily download and share the HTML file, making it convenient to distribute the dashboard to stakeholders or embed it into web pages. Customization and Interactivity Claude 3 AI offers customization options to tailor the dashboard to your specific needs and preferences. While the customization flexibility may be somewhat limited compared to more advanced tools, you can still modify color themes and design elements to align with your brand or personal style. Create Excel workbooks with refreshable Power BI data – Power BI The interactive nature of the dashboards generated by Claude 3 AI is a standout feature. Users can explore the data by hovering over elements, revealing additional information through tooltips. This interactivity enhances the user experience and assists deeper insights into the presented data. Limitations and Considerations While Claude 3 AI is a powerful tool, it’s important to be aware of its limitations: Data Volume Limit: Claude 3 AI can handle data files up to 30 MB, with a practical limit of around 1,000 rows. For larger datasets, alternative tools may be more suitable. Customization Flexibility: The customization options in Claude 3 AI are relatively limited compared to more advanced data visualization tools. If extensive customization is required, other alternatives should be considered. Data Security Concerns: As with any AI tool that processes data, there are potential security concerns to keep in mind. Ensure that sensitive or confidential data is handled appropriately and in compliance with relevant regulations. Integration Limitations: Claude 3 AI has limited integration capabilities with other systems. If seamless integration with existing workflows or tools is crucial, alternative solutions may be more suitable. Verification of Outputs: While Claude 3 AI generates visualizations based on the provided data, it’s essential to verify the accuracy and integrity of the AI-generated outputs. Manual review and validation are recommended to ensure the reliability of the dashboards. Exploring Alternatives Tutorial: From Excel workbook to stunning report in Power BI If Claude 3 AI doesn’t fully …

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The 10 Biggest Microsoft News Stories Of 2024 (So Far)

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The 10 Biggest Microsoft News Stories Of 2024 (So Far) New partner program investments, AI innovation and cloud outages are among the biggest headlines so far. New partner program investments. Innovation in the artificial intelligence portfolio. And cloud outages and concerns around security. These are some of the ways Microsoft has captured headlines in 2024 so far as the Redmond, Wash.-based tech giant rides high on its role as one of the biggest companies in the growing AI space. Microsoft Business Intelligence – Business Excellence Microsoft CEO Satya Nadella – named in July as CRN’s No. 1 Most Influential Executive of 2024 – and his team are investing in its 400,000-plus partner-strong ecosystem solution providers to not only help stand up AI technology within customer environments, but to also make customers more cyber resilient and to continue migrating on-premises workloads to the cloud. [RELATED: 2024 Year In Review (So Far)] Microsoft News 2024 Microsoft is a member of CRN’s 2024 Channel Chiefs. Enterprise business intelligence – Azure Architecture Center In July, Microsoft executives revealed that the vendor brought in $245.1 billion in revenue, an increase of 15 percent year over year ignoring foreign exchange. Microsoft Cloud revenue surpassed $135 billion, up 23 percent year over year. For the 2025 fiscal year, CFO Amy Hood said that she expects “double-digit revenue and operating income growth as we focus on delivering differentiated value for our customers.” Here are some of the ways Microsoft has dominated headlines this year so far. This list is part of CRN’s 2024 Year In Review (So Far) series. Other lists include The 10 Biggest AWS News Stories Of 2024 (So Far) and The 10 Biggest Nvidia News Stories Of 2024 (So Far). Microsoft Business Intelligence for Powerful Analytics 10. January Microsoft Outages Outages are always a part of the cloud story, and Microsoft wasn’t spared from headline-grabbing issues at the start of the year. Azure Resource Manager experienced degradation on Jan. 21, with users contending with issues for about seven hours, from 1:30 UTC to 8:58, especially users in the Central U.S., East U.S., West Central U.S. and South Central U.S. The ARM issue affected downstream Azure services including CDN, Virtual Machines, Data Factory, Azure Container Registry and Service Bus, according to Microsoft. The issue came from a June 2020 ARM private preview integration with Entra Continuous Access Evaluation, according to Microsoft. “Unbeknownst to us, this preview feature of the ARM CAE implementation contained a latent code defect that caused issues when authentication to Entra failed,” according to the vendor. “The defect would cause ARM nodes to fail on startup whenever ARM could not authenticate to an Entra tenant enrolled in the preview.” A ThousandEyes report said that “the saving grace for Microsoft was that it occurred on a weekend, reducing the impact on users.” “However, the critical nature of ARM in Azure operations meant that the users who were impacted could do little but wait for a fix,” according to the report. On Jan. 26, Microsoft Teams had a widespread outage. Microsoft posted on X at 8:45 a.m. Pacific that “we’re investigating an issue impacting multiple Microsoft Teams features.” “We’ve identified a networking issue impacting a portion of the Teams service and we’re performing a failover to remediate impact,” the vendor posted on X at 9:17 a.m. Realtime outages monitor Downdetector reported receiving about 14,500 reports of a Microsoft Teams outage by 10:41 a.m. It received about 600 reports of a Microsoft 365 outage by around that time. A ThousandEyes report on the incident said that it “observed these failures starting at approximately 4 PM (UTC) (8 AM [PST]), and they persisted for more than 7 hours before the incident appeared to resolve for many users by 11:10 PM (UTC).” 9. Microsoft Hires Inflection’s CEO In March, Microsoft hired multiple employees from startup Inflection AI – including the startup’s CEO and co-founder Mustafa Suleyman, who became a Microsoft executive vice president and CEO of the newly formed Microsoft AI organization. The startup’s $1.3 billion funding round last year included Microsoft and Microsoft co-founder Bill Gates. Suleyman sold DeepMind to Google in 2014. He left Google in 2022 to co-found Inflection. The hiring appeared to have ripple effects within Microsoft’s leadership, with the vendor promoting Pavan Davuluri to lead a combined Windows Experiences and Windows + Devices team while its head of Windows Experiences left his job – days after he was moved to a position reporting to new Microsoft AI CEO Mustafa Suleyman. Mikhail Parakhin, identified as Microsoft’s CEO of advertising and web services on his LinkedIn, “decided to explore new roles,” according to Microsoft. In a May post to social media network X, formerly known as Twitter, Parakhin said he joined the advisory board of AI answer engine provider Perplexity. Close partnerships between tech giants and smaller AI organizations have led to scrutiny in the U.S. and in Europe. In July, the United Kingdom’s Competition and Markets Authority (CMA) published a letter saying that it can “begin an investigation” into the Microsoft-Inflection deal. In January, the FTC announced that Microsoft, OpenAI, Amazon, Google parent Alphabet and Anthropic needed to provide information on their recent investments and partnerships. Google appears to have done a similar Microsoft-Inflection deal with the startup Character.AI. 8. Microsoft Executive Accounts Breach In January The year started with good and bad news in Microsoft world – around increased access for Copilot for M365, Microsoft disclosed that a Russia-aligned threat actor was able to steal emails from members of its senior leadership team as well as from employees on its cybersecurity and legal teams. The tech giant attributed the attack to a group it tracks as Midnight Blizzard, which has previously been connected to Russia’s SVR foreign intelligence unit by the U.S. government and blamed for attacks including the widely felt 2020 breach of SolarWinds. Customers known to have been impacted in the incident included multiple federal agencies, the U.S. Cybersecurity and Infrastructure Security Agency (CISA) confirmed. Through the compromise of Microsoft corporate …

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Analysts laud SAS’ innovation in AI, marketing, risk and fraud solutions

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Analysts laud SAS’ innovation in AI, marketing, risk and fraud solutions Investment by SAS drives accolades in multiple reports from top analyst firms CARY, N.C., July 30, 2024 /PRNewswire/ — When choosing new technologies like generative AI (GenAI) or selecting vendors for mission-critical functions like managing risk, improving marketing and customer loyalty, and fighting fraud and financial crimes, organizations often seek the advice of top industry analyst firms. Top industry analyst firms have once again have recognized SAS as a leader in key business and technology areas. Statistical Business Analysis SAS And these top firms once again have recognized SAS and its technologies as leaders in important business and technology areas. For more SAS rankings in analyst reports, see Analyst Viewpoints at SAS.com/analystviews. Among the most recent analyst accolades for SAS are: AI and Analytics SAS® Business Intelligence IQC Quality Services Customer Intelligence Risk Management Chartis RiskTech Quadrant® for Credit Risk Management – Trading Book – SAS named a Leader (June 2024) Chartis RiskTech Quadrant for Credit Risk Management – Banking Book – SAS named a Leader (June 2024) Working with SAS Business Intelligence: A Comprehensive Guide Chartis STORM50: Retail Finance Analytics50 – SAS earned the No. 1 overall ranking (June 2024) Chartis STORM50: Quant Tech50 – SAS ranked No. 4 out of 50 vendors (June 2024) Chartis STORM50: Insurance Analytics50 – SAS ranked No. 5 out of 50 vendors (June 2024) Fraud and Financial Crimes The Forrester Wave: Enterprise Fraud Management Solutions – SAS named a Leader (June 2024) Chartis RiskTech Quadrant for Adverse Media Monitoring Solutions – SAS named a Leader (May 2024) Chartis RiskTech Quadrant for Name and Transaction Screening Solutions – SAS named a Leader (May 2024) SAS remains steadfast in its commitment to investing in the latest data and AI technologies to help its customers succeed. In April, for example, SAS announced new GenAI capabilities for SAS Viya, its cloud-native data and AI platform. And in June, SAS rolled out additional GenAI tools in its lead marketing technology solution, SAS Customer Intelligence 360. “For decades, SAS has focused on helping our customers transform huge amounts of data into better business decisions and value,” said SAS CEO Jim Goodnight. “And we’ve baked our passion for analytics, data and AI into SAS software solutions, which help our customers better serve their customers, fight fraud and manage risk. These latest analyst reports not only highlight SAS’ leadership in important business areas, but also show that choosing SAS is a very low-risk and high-reward move for any organization.” Story continues About SAS SAS is a global leader in data and AI. With SAS software and industry-specific solutions, organizations transform data into trusted decisions. SAS gives you THE POWER TO KNOW®. SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc. in the USA and other countries. ® indicates USA registration. Other brand and product names are trademarks of their respective companies. Copyright © 2024 SAS Institute Inc. All rights reserved. Editorial Contact:Mike NemecekSASmike.nemecek@sas.com 919-531-5140sas.com/news (PRNewsfoto/SAS) Cision View original content to download multimedia:https://www.prnewswire.com/news-releases/analysts-laud-sas-innovation-in-ai-marketing-risk-and-fraud-solutions-302209840.html SOURCE SAS Analysts laud SAS’ innovation in AI, marketing, risk and fraud solutions Investment by SAS drives accolades in multiple reports from top analyst firms CARY, N.C., July 30, 2024 /PRNewswire/ — When choosing new technologies like generative AI (GenAI) or selecting vendors for mission-critical functions like managing risk, improving marketing and customer loyalty, and fighting fraud and financial crimes, organizations often seek the advice of top industry analyst firms. Top industry analyst firms have once again have recognized SAS as a leader in key business and technology areas. And these top firms once again have recognized SAS and its technologies as leaders in important business and technology areas. For more SAS rankings in analyst reports, see Analyst Viewpoints at SAS.com/analystviews. Among the most recent analyst accolades for SAS are: AI and Analytics Customer Intelligence Risk Management Chartis RiskTech Quadrant® for Credit Risk Management – Trading Book – SAS named a Leader (June 2024) Chartis RiskTech Quadrant for Credit Risk Management – Banking Book – SAS named a Leader (June 2024) Chartis STORM50: Retail Finance Analytics50 – SAS earned the No. 1 overall ranking (June 2024) Chartis STORM50: Quant Tech50 – SAS ranked No. 4 out of 50 vendors (June 2024) Chartis STORM50: Insurance Analytics50 – SAS ranked No. 5 out of 50 vendors (June 2024) Fraud and Financial Crimes The Forrester Wave: Enterprise Fraud Management Solutions – SAS named a Leader (June 2024) Chartis RiskTech Quadrant for Adverse Media Monitoring Solutions – SAS named a Leader (May 2024) Chartis RiskTech Quadrant for Name and Transaction Screening Solutions – SAS named a Leader (May 2024) SAS remains steadfast in its commitment to investing in the latest data and AI technologies to help its customers succeed. In April, for example, SAS announced new GenAI capabilities for SAS Viya, its cloud-native data and AI platform. And in June, SAS rolled out additional GenAI tools in its lead marketing technology solution, SAS Customer Intelligence 360. “For decades, SAS has focused on helping our customers transform huge amounts of data into better business decisions and value,” said SAS CEO Jim Goodnight. “And we’ve baked our passion for analytics, data and AI into SAS software solutions, which help our customers better serve their customers, fight fraud and manage risk. These latest analyst reports not only highlight SAS’ leadership in important business areas, but also show that choosing SAS is a very low-risk and high-reward move for any organization.” Story continues About SAS SAS is a global leader in data and AI. With SAS software and industry-specific solutions, organizations transform data into trusted decisions. SAS gives you THE POWER TO KNOW®. SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc. in the USA and other countries. ® indicates USA registration. Other brand and product names are trademarks of their respective companies. Copyright © 2024 SAS Institute Inc. All rights reserved. Editorial Contact:Mike NemecekSASmike.nemecek@sas.com 919-531-5140sas.com/news (PRNewsfoto/SAS) Cision …

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Qlik Answers Now Available for AI-Driven, Fully Explainable Insights from Vast Unstructured Business Data

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Qlik Answers Now Available for AI-Driven, Fully Explainable Insights from Vast Unstructured Business Data PHILADELPHIA, July 30, 2024 (GLOBE NEWSWIRE) — Qlik®, a global leader in data integration, analytics, and artificial intelligence (AI), today announced the general availability of Qlik Answers™, its newest self-service AI solution designed to help organizations harness the power of AI by removing the risk, embracing the complexity, and scaling the impact of AI. Qlik Answers transforms unstructured data into actionable results through generative AI, offering full explainability—a common obstacle in enterprise AI adoption. Qlik Answers combines generative AI with Qlik’s trusted data analytics capabilities to deliver precise, contextually relevant results from extensive unstructured data sources. This solution enables customers to seamlessly integrate AI into their existing Qlik business intelligence workflows, ensuring efficient use of resources and avoiding technical debt. “Qlik Answers is designed to help businesses use their unstructured data to make better decisions,” said Brendan Grady, Executive Vice President and General Manager of Qlik’s Analytics Business Unit. “This solution integrates our strengths in analytics and data with generative AI, providing users with precise answers to their questions. With Qlik Answers, we are offering a tool that supports the direct translation of unstructured data into tangible business outcomes.” Key Benefits of Qlik Answers: Business Intelligence Reporting: A Complete Guide Qlik AI-Powered Responses: Delivers relevant answers from curated knowledge bases, enhancing the utility of unstructured data.Rapid Deployment: Offers a ready-to-use solution, reducing the time and complexity of deployment.Transparency: Ensures full explainability with answers linked to their source documents, fostering trust and consistency.Broad Connectivity: Integrates with existing systems and platforms, using Qlik’s enterprise connectors to access a variety of unstructured data sources.Enhanced Efficiency: Supports real-time business activities and decisions, enabling users to quickly access relevant information. “We’re excited to see Qlik focus on unlocking business outcomes from unstructured data with Qlik Answers,” said Stefan Heinz, Senior BI & Analytics Manager at Bystronic Group. “The full explainability and integration with Qlik’s trusted analytics platform promise to drive responsible and effective use of AI at an enterprise level.” Qlik Answers combines technologies to deliver reliable and efficient access to unstructured data. At its core, the solution uses Retrieval Augmented Generation (RAG), which merges retrieval-based and generative AI methods. This technique dynamically retrieves relevant documents from pre-indexed knowledge bases and generates precise, contextually relevant responses. By leveraging modern generative models, Qlik Answers can interpret and synthesize information from diverse sources, providing users with concise and actionable answers. To ensure seamless integration with existing systems, Qlik Answers utilizes Qlik’s trusted enterprise connectors. These connectors allow the solution to access a wide range of unstructured data sources without requiring extensive data movement or reconfiguration. This approach not only simplifies deployment but also maintains data integrity and accessibility. Additionally, Qlik Answers is designed with full explainability and transparency in mind. All AI-generated answers are traceable back to their original sources, enabling users to verify and trust the information presented. Business Intelligence Tools: Reviews of Top BI Software Qlik Answers is also self-service oriented, allowing business users to deploy and manage AI-driven knowledge assistants without needing extensive technical expertise or custom development. This ease of use ensures that organizations can quickly benefit from the solution, supporting real-time business activities and enhancing decision-making processes. To learn more about Qlik Answers and how it can improve your business operations by unlocking the potential of unstructured data, visit Qlik Answers. About QlikMedia ContactQlik converts complex data landscapes into actionable insights, driving strategic business outcomes. Serving over 40,000 global customers, our portfolio provides advanced, enterprise-grade AI/ML and data management. We excel in data integration and governance, offering comprehensive solutions that work with diverse data sources. Intuitive analytics from Qlik uncover hidden patterns, empowering teams to address complex challenges and seize new opportunities. Our AI/ML tools, both practical and scalable, lead to better decisions, faster. As strategic partners, our platform-agnostic technology and expertise make our customers more competitive.   Keith Parker keith.parker@qlik.com   512-367-2884 © 2024 QlikTech International AB. All rights reserved. All company and/or product names may be trade names, trademarks and/or registered trademarks of the respective owners with which they are associated. What is Business Intelligence? A Complete Guide Qlik Qlik Introduces Qlik Answers to Transform Unstructured Data into Business Insights PHILADELPHIA, July 30, 2024 — Qlik, a global leader in data integration, analytics, and artificial intelligence (AI), today announced the general availability of Qlik Answers, its newest self-service AI solution designed to help organizations harness the power of AI by removing the risk, embracing the complexity, and scaling the impact of AI. Qlik Answers transforms unstructured data into actionable results through generative AI, offering full explainability—a common obstacle in enterprise AI adoption. Qlik Answers combines generative AI with Qlik’s trusted data analytics capabilities to deliver precise, contextually relevant results from extensive unstructured data sources. This solution enables customers to seamlessly integrate AI into their existing Qlik business intelligence workflows, ensuring efficient use of resources and avoiding technical debt. “Qlik Answers is designed to help businesses use their unstructured data to make better decisions,” said Brendan Grady, Executive Vice President and General Manager of Qlik’s Analytics Business Unit. “This solution integrates our strengths in analytics and data with generative AI, providing users with precise answers to their questions. With Qlik Answers, we are offering a tool that supports the direct translation of unstructured data into tangible business outcomes.” What is Business Intelligence? A Complete Guide Qlik Key Benefits of Qlik Answers: AI-Powered Responses: Delivers relevant answers from curated knowledge bases, enhancing the utility of unstructured data. Rapid Deployment: Offers a ready-to-use solution, reducing the time and complexity of deployment. Transparency: Ensures full explainability with answers linked to their source documents, fostering trust and consistency. Broad Connectivity: Integrates with existing systems and platforms, using Qlik’s enterprise connectors to access a variety of unstructured data sources. Enhanced Efficiency: Supports real-time business activities and decisions, enabling users to quickly access relevant information. “We’re excited to see Qlik focus on unlocking business outcomes from unstructured data with Qlik Answers,” said Stefan Heinz, Senior BI & Analytics Manager at …

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SEALSQ Unveils Revolutionary Artificial Intelligence for Internet of Things (AIoT) Strategy, Pioneering the Future of Connected Intelligence

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SEALSQ Unveils Revolutionary Artificial Intelligence for Internet of Things (AIoT) Strategy, Pioneering the Future of Connected Intelligence Geneva, Switzerland, Aug. 14, 2024 (GLOBE NEWSWIRE) — SEALSQ Corp (NASDAQ: LAES) (“SEALSQ” or “Company”), a company that focuses on developing and selling Semiconductors, PKI and Post-Quantum technology hardware and software products, announces its bold entry into the AI chip market, underscored by its visionary AIoT (Artificial Intelligence for Internet of Things) strategy, which seamlessly merges the power of AI with the expansive potential of IoT technologies. This move positions SEALSQ at the cutting edge of technological innovation, where the convergence of AI and IoT is set to drive digital transformation and reshape industries. While IoT has been around for several years, recent technological advances, including better connectivity, cloud computing, machine learning, artificial intelligence, related analytics, and low-cost sensors, have significantly accelerated its adoption. However, with the surge in data volumes, challenges have arisen in absorbing, interpreting, and making informed decisions from this data. AI enables technical systems to perceive their environment, solve problems, and act to achieve specific goals. Essentially, AI allows machines to understand existing scenarios, address issues, and implement solutions autonomously. The core of SEALSQ’s AIoT strategy is the integration of advanced semiconductors, smart sensors, AI technologies, and a comprehensive data cloud. This fusion creates a holistic platform designed to not only foster innovation but also ensure the success and efficiency of digital transformation initiatives for its customers. AIoT acts as the brain that powers the nervous system of the network of IoT objects operating within the SEALSQ Ecosystem, which currently secures over 1.6 billion IoT devices secured with SEALSQ VaultIC. With the introduction of 5G, this ecosystem is poised for even more rapid growth, as 5G will enable the connection of every object, person, and machine. AIoT will embed AI into the core infrastructure components of the ecosystem, including Root of Trust, semiconductors, and edge computing. Specialized APIs provide interoperability between components at the device, software, and platform levels, optimizing system and network operations. SEALSQ’s vision extends far beyond the current capabilities of AIoT. Our Moonshot Development Plan is set to revolutionize AI’s power and capabilities by integrating cutting-edge, comprehensive post-quantum chips into mainstream computing, AI research, and everyday technologies by 2028. This strategic initiative isn’t just about maximizing AI efficiency—it’s about ensuring ultra-security in a post-quantum era. HIGH-LEVEL GOALS Achieve a 50x improvement in AI training and inferencing times: By leveraging quantum computing, SEALSQ aims to break existing barriers in AIoT performance, enabling faster and more efficient IoT processing.Ensure 99.999% quantum-resistant security for all AI operations: SEALSQ is leading the charge in quantum-resistant security, ensuring that AI-driven technologies remain secure against emerging quantum threats.Integrate SEALSQ chips into 70% of AI-driven technologies: From home automation to autonomous vehicles, SEALSQ’s post-quantum chips will power the future of AI-driven innovations. STRATEGIC INITIATIVES Quantum AI Accelerator: Collaborate with top AI research institutions globally to utilize SEALSQ’s quantum speedup in advancing AI research and development.Ultra-Secure Quantum Networking: Partner with major telecom providers to replace classical data transfer with quantum networking, ensuring ultra-secure communication channels.Quantum-Optimized Industry Solutions: Work with leaders in industrial automation, automotive, and home automation to introduce quantum-enhanced products, leading to smarter cars, more efficient factories, and homes that learn and adapt faster than ever.Global Quantum Security Alliance: Form a coalition of technology companies, cybersecurity agencies, and governments to set standards for post-quantum security, ensuring a unified approach to the challenges of the future.Quantum Sensing Revolution: Collaborate with hardware and tech companies to integrate quantum-enhanced sensors into everyday technologies, resulting in highly accurate and sensitive devices. IMPLEMENTATION ROADMAP Year 1-2: Post-Quantum Foundation Focus on intensive R&D to refine and enhance post-quantum capabilities.Launch the Quantum AI Accelerator program in collaboration with AI research institutes.Establish dedicated teams for industry-specific collaborations. Year 2-3: Quantum Integration Mastering Business Intelligence: Comprehensive Guide to Concepts Release developer kits to enable seamless integration of SEALSQ chips into AI and tech ecosystems.Launch the first range of quantum-optimized products in partnership with industry leaders.Host international conferences to showcase advancements in Quantum Machine Learning. Year 3-4: Quantum Expansion Expand into international markets, ensuring global adoption of SEALSQ chips in AI technologies.Initiate the Global Quantum Security Alliance, influencing global standards.Collaborate with educational institutions to foster the next generation of quantum AI innovators. Year 4-5: Quantum Integration Achieve the integration of SEALSQ chips into the majority of AI-driven technologies.Provide regular updates to keep SEALSQ chips ahead of the quantum tech curve.Celebrate the realization of the 50x AI performance improvement vision. Monitoring & Evolution Feedback Loops: Regular engagement with partners and customers to ensure continuous improvement and responsiveness to emerging needs.Quantum Watch: A dedicated team to monitor advancements in quantum technology and potential security threats, ensuring SEALSQ remains at the forefront of innovation and security. By 2028, SEALSQ’s moonshot vision is to create a world where AI, powered by quantum technology, is exponentially more efficient, secure, and integrated into every aspect of our lives. Through our unwavering commitment to innovation and collaboration, we aim to make this vision a reality. As quantum computing ushers in a new era of technological evolution, SEALSQ will be at the helm, guiding the integration of AI, IoT, and quantum technologies to redefine what is possible in our connected world. The future is bright, connected, intelligent, and quantum-powered. SEALSQ is not just keeping pace with these changes; we are leading the charge, setting new standards, and shaping the future of technology. Data processed through AIoT is collected and made accessible, allowing customers to extract value, enhance market intelligence, and deepen their knowledge base. This system also enables secure automation of actions and business decisions based on real-time data, allowing IoT to operate independently with minimal human support—unlike the current market, which often requires predefined coding of all actions. A key advantage of AI in this context is its ability to enable IoT devices to learn from their environment and make decisions autonomously, without the need for human intervention. This capability significantly automates processes, improves efficiency, and enhances operational outcomes. For …

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Mastering Data Scraping from Google Maps: A Comprehensive Guide

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Mastering Data Scraping from Google Maps: A Comprehensive Guide Share   Share Business intelligence: A complete overview Tableau   Share   Email What is Business Intelligence? Tableau Introduction In the digital age, data is a crucial asset for businesses. It provides insights that drive decision-making and strategy. One powerful method to gather data is through data scraping, particularly from Google Maps, which is a rich repository of business information. This guide aims to help you master data scraping from Google Maps, providing valuable insights for your business intelligence efforts. Understanding Data Scraping Data scraping, also known as web scraping, involves extracting information from websites and organizing it into a structured format. This technique is widely used for market research, lead generation, competitive analysis, and more. However, it is essential to adhere to legal guidelines and best practices to ensure ethical and legal compliance. Business intelligence: A complete overview Tableau What is Google Maps Scraping? Google Maps scraper  involves extracting data such as business names, addresses, contact information, reviews, and ratings from Google Maps. This data is valuable for various business applications, including enhancing customer insights, conducting competitive analysis, and improving operational efficiency. Tools and Techniques for Google Maps Scraping There are several tools available for Google Maps scraping, ranging from manual methods to automated software solutions. Popular tools include Scrapy, Beautiful Soup, Octoparse, and ParseHub. Automated scraping is preferred for its efficiency and accuracy, especially when dealing with large volumes of data. Setting Up Your Google Maps Scraper To set up a Google Maps scraper, follow these steps: Select a Tool: Choose a scraping tool that fits your needs. Install the Tool: Follow the installation instructions for the chosen tool. Define Data Requirements: Specify the data points you need (e.g., business name, address, phone number). Configure the Scraper: Set up the tool with your desired parameters. Test the Scraper: Run a test scrape to ensure it collects the correct data. Execute the Scraper: Run the scraper to collect data. Ensure your scraper is configured to target specific Google Maps URLs and data fields, and schedule regular scraping sessions to keep the data updated. Processing and Cleaning Scraped Data After data extraction, it’s crucial to clean and process the data to ensure accuracy. Cleaning involves removing duplicates, correcting errors, and standardizing data formats. Techniques for cleaning data include deduplication, validation, and standardization. Regular updates and validation are essential to maintain data accuracy and reliability. Analyzing and Utilizing Google Maps Data Analyzing scraped data can provide valuable insights for your business. Use tools like Excel, Tableau, Power BI, or programming languages like Python and R for data analysis and visualization. Common analytical techniques include descriptive analysis, trend analysis, and comparative analysis. Visualizing data through charts, graphs, and maps helps in better understanding and communicating insights. Applications of Google Maps Data in Business Intelligence Google Maps data can enhance customer insights, improve operational efficiency, and support competitive analysis. For example, analyzing customer reviews and ratings can help understand customer preferences and behaviors, guiding product development and marketing strategies. Location data can optimize delivery routes, reduce transportation costs, and improve service efficiency. Competitive analysis can identify market gaps and opportunities for expansion. Challenges and Best Practices While Google Maps scraper  offers numerous benefits, it also presents challenges such as data accuracy, technical issues, and legal considerations. To overcome these challenges, follow best practices: Ensure Data Accuracy: Regularly update and validate your data. Maintain Data Privacy and Security: Implement strong data privacy and security measures. Comply with Legal Regulations: Ensure your scraping practices comply with data protection laws and Google’s terms of service. Handle Errors: Implement error handling to manage issues like CAPTCHA and IP blocking. Future Trends in Data Scraping Emerging technologies such as AI and machine learning are enhancing data scraping and analysis capabilities. The importance of location-based data is increasing, and future trends in business intelligence will likely involve greater integration of diverse data sources to drive deeper insights and better decision-making. Conclusion Google Maps data can significantly enhance your business intelligence efforts. By mastering data extraction techniques and following best practices, you can gather rich, detailed data that provides valuable insights for customer understanding, competitive analysis, and operational efficiency. Embrace the power of data scraping to stay ahead in the competitive business landscape. FAQs What is the best tool for Google Maps scraping? The best tool depends on your specific needs and technical expertise. Popular options include Scrapy, Beautiful Soup, Octoparse, and ParseHub. How can I ensure the data I scrape is accurate? Regularly update your scraping sessions, validate the data against reliable sources, and clean the data to remove duplicates and errors. Are there legal risks associated with data scraping? Yes, unauthorized scraping can lead to legal issues. Always comply with Google’s terms of service and relevant data protection laws. How often should I update my scraped data? Regular updates are essential to maintain data accuracy and relevance. The frequency of updates depends on the nature of your business and the data’s importance. What are the ethical considerations for data scraping? Use data responsibly, respect privacy, and ensure compliance with legal regulations. Avoid scraping personal or sensitive information without consent. Salesforce To Acquire Business Analytics Leader Tableau In Blockbuster $15.7 Billion Deal Companies say the combination of the vendors’ CRM and business analytics portfolios will make Salesforce a digital transformation powerhouse. Salesforce.com is taking a major step to increase its business analytics portfolio with a deal to acquire Tableau Software, one of the leading developers of business intelligence and data visualization software, for a whopping $15.7 billion. The two companies announced the deal Monday morning under which Salesforce will acquire publicly held Tableau in an all-stock transaction. Salesforce will exchange 1.103 shares of its common stock, valued at $15.7 billion, for each share of Tableau’s Class A and Class B common stock. “We are bringing together the world’s No. 1 CRM with the No. 1 analytics platform,” said Salesforce chairman and co-CEO Marc Benioff in a statement announcing the deal. …

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Google keeps scaling back AI search results, new study finds

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Google keeps scaling back AI search results, new study finds Google’s AI Overviews in search results have dropped off significantly in recent months, according to a new study. The search giant is rethinking how it uses artificial intelligence in its biggest product. Researchers at SE Ranking have been closely tracking how often Google’s AI-generated responses appear in results and the sources the tool cites. In a test of around 100,000 searches on Google conducted in July, just 7.47% produced an AI Overview, which was a 1.24% drop from the previous month, the researchers found. That’s also a huge fall-off from February when Google was beta testing AI Overviews ahead of a full public release, where SE Ranking found that 64% of queries returned an AI response. The research concluded that the average length of each AI Overview had dropped to 2,633 characters, almost a 40% decrease from the month prior. In terms of who’s getting cited the most, Forbes, Business Insider, and Entrepreneur came out as the top-linked media outlets in the July study. “We designed AI Overviews to appear for queries where they’re helpful and provide value beyond existing features on the results page, and they continue to show for a large number of searches,” a Google spokesperson said in a statement. “As we’ve shared, we’re continuing to refine when and how we show AI Overviews so they’re as useful as possible, including a number of recent technical updates to improve response quality.” The spokesperson said the SE Ranking research results did not reflect the company’s own findings. Google announced at the end of May that it would scale back AI Overviews after users complained they were getting incorrect and sometimes strange answers, such as telling people to eat glue. The company had only made the feature available to the public two weeks prior. Liz Reid, Google’s head of search, said at the time that Google “didn’t get it right” and that it would refine and improve the feature, including more restrictions on user-generated content that could give “misleading” advice. It was the second blunder in a double-whammy for the search giant, which had also scaled back its Gemini image generator following fierce backlash over how the tool was generating historically inaccurate images of people of color. The authors of the SE Rankings study acknowledged that AI Overviews are changing fast, but the data gives us a rare look into how Google is moving more cautiously with AI results. SE Rankings also found that as of July 11, AI Overviews cited no Reddit or Quora Links. The two websites have rocketed in prominence in Google Search after the company said it would promote more online forums in results. However, some niche topics saw an increase in search results featuring AI Overviews. Queries pertaining to relationships had the most, with 40.64% of related keywords triggering AI Overviews in results. Are you a current or former Google employee with more insight to share? Got a tip? You can contact this reporter securely on Signal at hughlangley.01 or email at hlangley@businessinsider.com. Google says it’s ‘cracked the code’ to business intelligence ZDNET Google keeps scaling back AI search results, new study finds Google’s AI Overviews in search results have dropped off significantly in recent months, according to a new study. The search giant is rethinking how it uses artificial intelligence in its biggest product. Researchers at SE Ranking have been closely tracking how often Google’s AI-generated responses appear in results and the sources the tool cites. In a test of around 100,000 searches on Google conducted in July, just 7.47% produced an AI Overview, which was a 1.24% drop from the previous month, the researchers found. That’s also a huge fall-off from February when Google was beta testing AI Overviews ahead of a full public release, where SE Ranking found that 64% of queries returned an AI response. The research concluded that the average length of each AI Overview had dropped to 2,633 characters, almost a 40% decrease from the month prior. In terms of who’s getting cited the most, Forbes, Business Insider, and Entrepreneur came out as the top-linked media outlets in the July study. “We designed AI Overviews to appear for queries where they’re helpful and provide value beyond existing features on the results page, and they continue to show for a large number of searches,” a Google spokesperson said in a statement. “As we’ve shared, we’re continuing to refine when and how we show AI Overviews so they’re as useful as possible, including a number of recent technical updates to improve response quality.” The spokesperson said the SE Ranking research results did not reflect the company’s own findings. Google announced at the end of May that it would scale back AI Overviews after users complained they were getting incorrect and sometimes strange answers, such as telling people to eat glue. The company had only made the feature available to the public two weeks prior. Liz Reid, Google’s head of search, said at the time that Google “didn’t get it right” and that it would refine and improve the feature, including more restrictions on user-generated content that could give “misleading” advice. It was the second blunder in a double-whammy for the search giant, which had also scaled back its Gemini image generator following fierce backlash over how the tool was generating historically inaccurate images of people of color. The authors of the SE Rankings study acknowledged that AI Overviews are changing fast, but the data gives us a rare look into how Google is moving more cautiously with AI results. SE Rankings also found that as of July 11, AI Overviews cited no Reddit or Quora Links. The two websites have rocketed in prominence in Google Search after the company said it would promote more online forums in results. However, some niche topics saw an increase in search results featuring AI Overviews. Queries pertaining to relationships had the most, with 40.64% of related keywords triggering AI Overviews in results. Are you …

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Magic Quadrant for Analytics & Business Intelligence Platforms

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Gartner says everyday AI and digital employee experience are two years away from mainstream adoption ERROR: The request could not be satisfied Request blocked. We can’t connect to the server for this app or website at this time. There might be too much traffic or a configuration error. Try again later, or contact the app or website owner. If you provide content to customers through CloudFront, you can find steps to troubleshoot and help prevent this error by reviewing the CloudFront documentation. Generated by cloudfront (CloudFront) Request ID: GFd0flXaeUjYUvECGjo3GIRU7HEI9EgAwOe2IsvR7iPvJ1p9qTAa3A== Gartner says everyday AI and digital employee experience are two years away from mainstream adoption ERROR: The request could not be satisfied Request blocked. We can’t connect to the server for this app or website at this time. There might be too much traffic or a configuration error. Try again later, or contact the app or website owner. If you provide content to customers through CloudFront, you can find steps to troubleshoot and help prevent this error by reviewing the CloudFront documentation. Generated by cloudfront (CloudFront) Request ID: m1ZdUEgktGQXL-Q9AXCUD5JUJA0-JVAkXjfLj7450isdkTRIJQejYg== Gartner says everyday AI and digital employee experience are two years away from mainstream adoption ERROR: The request could not be satisfied Request blocked. We can’t connect to the server for this app or website at this time. There might be too much traffic or a configuration error. Try again later, or contact the app or website owner. If you provide content to customers through CloudFront, you can find steps to troubleshoot and help prevent this error by reviewing the CloudFront documentation. Generated by cloudfront (CloudFront) Request ID: X2GGnM4929ClwN9gE5j2kOuoavTJ8Q6hwm2eRglK_iCjme_wamwAwQ== Everyday AI, Digital Employee Experience Only Two Years Away From Mainstream Adoption: Gartner Everyday artificial intelligence and digital employee experiences are projected to reach mainstream adoption in less than two years, according to research and consulting firm Gartner Inc. Everyday AI has the potential to remove digital friction by helping employees write, research, collaborate and ideate. It is an important part of DEX, which seeks to remove digital friction and improve workforce digital dexterity. According to Gartner, 2024 has been a critical year for digital workplace application leaders, as the focus on hybrid and remote work dwindles and the need for a strategic concentration on everyday AI rises. Everyday AI is placed on the peak of inflated expectations on the Gartner Hype Cycle for Digital Workplace Applications, 2024. Magic Quadrant for Analytics & Business Intelligence Platforms Everyday AI Can Enhance Workforce Productivity “Everyday AI technology aims to help employees deliver work with speed, comprehensiveness and confidence. It supports a new way of working, where intelligent software is acting as more of a collaborator than a tool,” said Adam Preset, vice-president and analyst at Gartner. As technology vendors seek ways to improve productivity among workers, beyond traditional applications and feature enhancements, they can look towards everyday AI. It can provide tools to help workers find and synthesise relevant information, answer questions and produce work artifacts more easily. “Everyday AI will become more sophisticated, moving from services that, for example, can sort and summarise chats and email messages to services that can write a report with minimal guidance,” said Preset. Power BI and Gartner&#;s “Magic Quadrant” Emphasis On Organisations To Have A DEX Strategy With employees spending more time working with technology, the workforce is becoming digital. Because of this, organisations must have a strategy to measure and improve DEX to attract and retain talent. As business leaders look at how technology can help boost productivity and organisational alignment, DEX emphasises best practices that can improve digital dexterity, attract and retain talent, and help employees deliver against business outcomes. According to Gartner, to increase the appeal and relevance around DEX, business leaders should take a holistic approach across IT and non-IT partners to build an environment that empowers employees to adopt new ways of working. Gartner’s Magic Quadrant Power BI One-third of generative AI projects will be abandoned by 2025, Gartner says At least 30% of generative AI (GenAI) projects will be abandoned after proof of concept by the end of 2025, due to poor data quality, inadequate risk controls, escalating costs, or unclear business value, according to a report from Gartner Inc. “After last year’s hype, executives are impatient to see returns on GenAI investments, yet organizations are struggling to prove and realize value. As the scope of initiatives widen, the financial burden of developing and deploying GenAI models is increasingly felt,” Rita Sallam, Distinguished VP Analyst at Gartner, said in a release. In addition, many organizations struggle to justify the substantial investment in GenAI for productivity enhancement, which can be difficult to directly translate into financial benefit. That means that GenAI projects require a higher tolerance for indirect, future financial investment criteria versus immediate return on investment (ROI). And historically, many CFOs have not been comfortable with investing today for indirect value in the future, the report found. “Unfortunately, there is no one size fits all with GenAI, and costs aren’t as predictable as other technologies,” Sallam said. “What you spend, the use cases you invest in and the deployment approaches you take, all determine the costs. Whether you’re a market disruptor and want to infuse AI everywhere, or you have a more conservative focus on productivity gains or extending existing processes, each has different levels of cost, risk, variability and strategic impact.” Despite those challenges, some earlier adopters are reporting a range of business improvements. In a recent Gartner survey, respondents reported 15.8% revenue increase, 15.2% cost savings and 22.6% productivity improvement on average. The survey of 822 business leaders was conducted between September and November 2023. EdgeTI Recognized in the Gartner Hype Cycle for ERP, 2024 Report Explains How and When Digital Twins Advance ERP Goals and Benefits Arlington, Virginia–(Newsfile Corp. – August 14, 2024) – Edge Total Intelligence Inc. (TSXV: CTRL) (OTC Pink: UNFYF) (FSE: Q5I) (“edgeTI”, “Company”), a leading provider of real-time digital twin software, announces the Company has been recognized as a Sample Vendor for the first time in the latest Gartner® Hype Cycle™ for …

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Qlik Sense Business Analyst Certification – Credly

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Exciting New Partnership: Optimum and Qlik Join Forces to Transform Data Analytics for Clients With Seamless Data Integration and Cutting-Edge Visualization, This Partnership Will Drive Business Growth and Empower Data-Driven Decisions for Businesses of All Sizes HOUSTON, TX / ACCESSWIRE / August 8, 2024 / Optimum Consultancy Services, a leader in IT consulting that specializes in data, business intelligence (BI), and artificial intelligence (AI) solutions, is thrilled to announce a new strategic partnership with Qlik®, a renowned leader in data integration and data analytics solutions. This partnership is set to transform the way businesses leverage data for strategic decision-making. Through this collaboration, Optimum will integrate Qlik’s cutting-edge BI tools and data integration solutions into its service offerings. This includes the powerful Qlik Sense® platform, known for its associative analytics engine and sophisticated AI, and Qlik’s comprehensive data integration and quality solution, Qlik Talend® Cloud. Qlik Sense Business Analyst Certification – Credly Qlik Sense® will enable Optimum’s clients to unlock powerful insights from their data, enhancing decision-making processes with interactive dashboards, fully interactive analytics apps, and beautiful reports that are accessible on any device. Additionally, the partnership will leverage Qlik’s data integration and quality to ensure that data is not only seamlessly integrated but also maintained with the highest quality and integrity. This means clients can trust the data at their fingertips, making it easier to achieve compliance with data regulations and standards. ‘We are thrilled to partner with Qlik to enhance our clients’ data integration and analytics capabilities,’ says Nooshin Yazhari, President and CEO of Optimum. ‘This partnership not only enhances our BI and AI offerings but also strengthens our data integration and quality services, ensuring our clients have access to the best tools in the industry. We are confident that our partnership with Qlik will unlock new opportunities for our clients and drive growth for their businesses.’ Benefits for Clients: Enhanced Data Capabilities: Clients will benefit from a seamless blend of Optimum’s expertise and Qlik’s technological prowess, leading to enhanced capabilities in data processing, analytics, and decision-making. Managing spaces in Qlik Sense Business Streamlined Operations: With improved data integration and quality, businesses can streamline their operations, reduce costs, and increase efficiency. Competitive Advantage: By leveraging real-time data insights and forecasts, businesses can stay ahead of market trends and make informed strategic decisions that provide a competitive edge. Scalability: The solutions provided are scalable, ensuring that as a business grows, its data solutions can grow with it without performance loss. This strategic partnership is effective immediately, and Optimum is ready to assist businesses in implementing these powerful solutions to harness the full potential of their data. Qlik Sense Business or Qlik Sense Enterprise SaaS Qalyptus For more information about Optimum’s partnership with Qlik, please visit our Qlik offerings page or contact us at 713.505.0300 | info@optimumcs.com. About Optimum Optimum Consultancy Services, based in Houston, Texas, is a leading IT consulting firm focused on delivering top-tier data and business intelligence solutions. Specializing in integrating and optimizing complex data environments, Optimum leverages cutting-edge technologies, such as Qlik, to empower clients with actionable insights and tailored analytics strategies. As a trusted advisor in the IT sector, Optimum partners with industry-leading software providers to enhance its service offerings, ensuring clients receive comprehensive, state-of-the-art support that drives significant business outcomes. Known for its commitment to excellence and innovation, Optimum continually strives to transform the data capabilities of its clients nationwide. Learn more at www.optimumcs.com. About Qlik Qlik converts complex data landscapes into actionable insights, driving strategic business outcomes. Serving over 40,000 global customers, our portfolio provides advanced, enterprise-grade AI/ML and data management. We excel in data integration and governance, offering comprehensive solutions that work with diverse data sources. Intuitive analytics from Qlik uncover hidden patterns, empowering teams to address complex challenges and seize new opportunities. Our AI/ML solutions, both practical and scalable, lead to better decisions, faster. As strategic partners, our platform-agnostic technology and expertise make our customers more competitive. © 2024 QlikTech International AB. All rights reserved. All company and/or product names may be trade names, trademarks and/or registered trademarks of the respective owners with which they are associated. Contact Information Nooshin Yazhari President and CEO nyazhari@optimumcs.com 713.505.0300 Gabby de Janasz Marketing Specialist gdejanasz@optimumcs.com 713.505.0300 Keith Parker Senior Director, Global Corporate and Executive Communications keith.parker@qlik.com 512.367.2884 SOURCE: Optimum Consultancy Services View the original press release on newswire.com. Financial Data Analysts: Making Sense of Big Data in FinTech Share   Share   Share   Email   Financial technology, or FinTech, data is the new gold. Companies are increasingly relying on vast amounts of data to make informed decisions, drive innovation, and maintain a competitive edge. This influx of data has given rise to a critical role within the industry: the Financial Data Analyst. These professionals are tasked with deciphering complex data sets to provide actionable insights that can shape the future of financial services. Big Data has become a buzzword across various industries, but its impact on FinTech is particularly profound. With the proliferation of digital transactions, online banking, and mobile payments, the financial industry generates an enormous amount of data daily. This data includes everything from transaction records and customer behavior patterns to market trends and social media interactions. For FinTech companies, leveraging this data is not just a competitive advantage; it is a necessity. However, the sheer volume, variety, and velocity of data generated in the financial sector can be overwhelming. This is where Financial Data Analysts come into play. Their expertise in data analysis helps FinTech companies navigate the complexities of Big Data, transforming it into valuable insights that drive business growth. The Role of a Financial Data Analyst Financial Data Analysts are the backbone of data-driven decision-making in FinTech. They possess a unique blend of financial acumen and data science skills, enabling them to interpret complex data sets and provide actionable recommendations. Their role extends beyond mere number-crunching; they are responsible for identifying patterns, trends, and anomalies that can inform strategic decisions. Data Collection and Preparation The first step in the …

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Dashboards, Business Intelligence and Reporting using Board software

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NANO Nuclear Energy Appoints Former Congressman and District Attorney Dan Donovan to its Executive Advisory Board as Chairman for Market Intelligence NANO Nuclear Energy Inc. NANO Nuclear Energy Inc. Figure 1 – NANO Nuclear Energy Inc. Appoints Fromer District Attorney and Congressman Daniel M. Donovan Jr. as its Chairman of the Executive Advisory Board for Market Intelligence. Pros and Cons of Board Former member of House Homeland Security Committee member brings important expertise and contacts to NANO Nuclear New York, N.Y., Aug. 14, 2024 (GLOBE NEWSWIRE) — NANO Nuclear Energy Inc. (NASDAQ: NNE) (“NANO Nuclear”), a vertically integrated advanced nuclear energy and technology company developing portable clean energy solutions, today announced the appointment of former Congressman Daniel M. Donovan Jr. to its Executive Advisory Board. Mr. Donovan has been appointed as the Chairman of the Executive Advisory Board for Market Intelligence. Mr. Donovan is a seasoned attorney and prominent public figure with a distinguished career in law and politics. Serving as the Richmond County District Attorney for over a decade, Donovan was instrumental in implementing reforms that strengthened the legal protections for victims of crime while ensuring that the rights of all citizens were upheld. In addition to his legal career, Donovan made significant contributions to public service as a member of the U.S. House of Representatives, representing New York’s 11th Congressional District. During his time in Congress, Mr. Donovan was a vocal advocate for national security, veterans’ affairs, and disaster recovery, serving on several key committees and subcommittees. As part of the Committee on Homeland Security, he chaired the Subcommittee on Emergency Preparedness, Response, and Communication, and was also an active member of the Subcommittee on Cybersecurity, Infrastructure Protection, and Security Technologies. Additionally, Mr. Donovan contributed to the Committee on Foreign Affairs, where he served on the Subcommittee on Africa, Global Health, Global Human Rights, and International Organizations, as well as the Subcommittee on the Western Hemisphere. Dashboards, Business Intelligence and Reporting using Board software “It is a privilege to take on this role with NANO Nuclear and help ensure that this innovative company continues its mission of building world with safe and sustainable nuclear energy solutions,” said Daniel M. Donovan, Jr., Chairman of the Executive Advisory Board for Market Intelligence of NANO Nuclear Energy. “The United States is a hub for innovation and the advancement of technologies that have the potential to transform our way of life. Simply put, energy resilience is crucial for national security, and the path to self assured energy resilience is through widespread usage of scalable nuclear power. NANO Nuclear’s technologies in development have the capacity to achieve just that, and I am thrilled to contribute to ensuring that the company, along with its outstanding technical and management teams, has the support necessary to bring these technologies to market.” Story continues Figure 1 – NANO Nuclear Energy Inc. Appoints Fromer District Attorney and Congressman Daniel M. Donovan Jr. as its Chairman of the Executive Advisory Board for Market Intelligence. “It is a pleasure to welcome another former U.S. national leader, Mr. Donovan, to the Executive Advisory Board of NANO Nuclear,” said Jay Yu, Founder and Chairman of NANO Nuclear Energy. “Mr. Donovan presided over numerous high-profile cases during his time as District Attorney and has a proven track record of standing up for the American people. A member of the Climate Solutions Caucus during his time as the U.S. representative for New York’s 11th congressional district, Mr. Donovan understands that you have to meet challenges head on, particularly challenges associated with clean energy solutions. We are delighted to add his expertise to our bipartisan Executive Advisory Board.” BOARD Software Reviews, Demo & Pricing – “The addition of Mr. Donovan to our Executive Advisory Board is yet another step to ensuring that we protect our company and our shareholders through the addition of highly qualified and respected professionals,” said James Walker, Chief Executive Officer and Head of Reactor Development of NANO Nuclear Energy. “During his tenure as District Attorney, Mr. Donovan earned a well-deserved reputation for being tough on crime and prioritizing the safety of his constituents, a commitment that continued throughout his service in the U.S. House of Representatives. His combination of legal, regulatory and governmental expertise will be very valuable to us, and I welcome him to our team.” About NANO Nuclear Energy NANO Nuclear Energy Inc. (NASDAQ: NNE) is an advanced technology-driven nuclear energy company seeking to become a commercially focused, diversified, and vertically integrated company across four business lines: (i) cutting edge portable microreactor technology, (ii) nuclear fuel fabrication, (iii) nuclear fuel transportation and (iv) nuclear industry consulting services. NANO Nuclear believes it is the first portable nuclear microreactor company to be listed publicly in the U.S. Led by a world-class nuclear engineering team, NANO Nuclear’s products in technical development are “ZEUS”, a solid core battery reactor, and “ODIN”, a low-pressure coolant reactor, each representing advanced developments in clean energy solutions that are portable, on-demand capable, advanced nuclear microreactors. Board Review Pricing, Features, Shortcomings Advanced Fuel Transportation Inc. (AFT), a NANO Nuclear subsidiary, is led by former executives from the largest transportation company in the world aiming to build a North American transportation company that will provide commercial quantities of HALEU fuel to small modular reactors, microreactor companies, national laboratories, military, and DOE programs. Through NANO Nuclear, AFT is the exclusive licensee of a patented high-capacity HALEU fuel transportation basket developed by three major U.S. national nuclear laboratories and funded by the Department of Energy. Assuming development and commercialization, AFT is expected to form part of the only vertically integrated nuclear fuel business of its kind in North America. HALEU Energy Fuel Inc. (HEF), a NANO Nuclear subsidiary, is focusing on the future development of a domestic source for a High-Assay, Low-Enriched Uranium (HALEU) fuel fabrication pipeline for NANO Nuclear’s own microreactors as well as the broader advanced nuclear reactor industry. For more corporate information please visit: https://NanoNuclearEnergy.com/ For further information, please contact: Email: IR@NANONuclearEnergy.comBusiness Tel: (212) 634-9206 PLEASE FOLLOW OUR SOCIAL MEDIA PAGES HERE: …

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Combine Microsoft and Power BI Microsoft Power BI

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Free Business Email: 7 Legit Ways to Get Free Addresses All businesses need branded email addresses, and small businesses and startups often need it to be as cheap as possible. To help, we rounded up the best legitimate ways to get a free business email address. All are secure and credible for professional use. Some are completely free, while others include free email accounts with products like domains, web hosting, and office software. Best free business email addresses: Zoho Mail Best for Gmail business email: Google Workspace Best for a free email address with cheap domain purchase: IONOS Best website builder with multiple free emails: Hostinger Best for work email on your Outlook domain: Microsoft 365 Best for free business emails with advanced security: Proton Mail Best for free temporary business email: Internxt Free business email solutions at a glance ProviderNumber of emailsConditionStorage per userFree domainLearn more Zoho MailUp to 5 usersHave existing domain5GB✘Visit Zoho Mail Google Workspace1Subscribe to Google Workspace starting $6/mo30GB–5TB✘Visit Google Workspace IONOS1Purchase domain and web hosting2GB–50GB✔Visit IONOS HostingerUp to 100Purchase site builder plan1GB per mailbox✔Visit Hostinger Microsoft 365Up to 25Subscribe to Microsoft 365 starting $6/mo15GB✘Visit Microsoft 365 Proton Mail1Use a Proton Mail domain1GB✘Visit Proton Mail Internxt1Expires after 3 hoursN/A✔Visit Internxt More storage available in paid plans Microsoft Power BI – What Is It and What to Use It For? – TPG The Zoho Mail: Best free business email addresses Pros and cons ProsCons Up to 5 free business email addresses on your domainUser-friendly and integrates with Zoho’s marketing, sales, and productivity toolsPassword protection and expiry date with SecurePassPaid plans from $1/mo & Workspace plans with productivity tools from $3/moMust purchase a domain separatelyOver 5 users requires paid planMinimal storage (5GB per user)Fairly small 25MB attachment limitFree version doesn’t support internet messaging access protocol (IMAP)/ post office protocol (POP)/Active Sync (i.e., can’t use in other email apps) Key features of free Zoho Mail Create up to five free business emails on a domain you own. Strong security and privacy capabilities. Clean and modern interface for easy use. 5GB storage for each email account. Easy integration with Zoho One, Zoho CRM (customer relationship management), Books and Zoho’s other cloud-based business, sales and marketing tools. Scalable Workplace plans with business communication, collaboration and productivity tools comparable to Google Workspace or Microsoft 365. If you’re looking for free webmail for business, Zoho Mail takes one of the top spots as you can legitimately get up to five free business email accounts — provided you own a business domain name (e.g., yourbusiness.com) — no strings attached. Plus, it integrates seamlessly with more than 40 other Zoho apps for sales, marketing, project management, accounting and more, many of which also have free plans. Zoho Mail is the best option for free email addresses since you do not have to purchase a plan to get free emails. You’ll access your free Zoho Mail accounts through the Zoho Mail app, which is available on both desktop and mobile devices. Zoho Mail has intuitive, familiar-feeling interfaces on desktop and mobile. Image: Zoho Power BI – Data Visualization Microsoft Power Platform However, plans don’t come with a domain name, so you’ll have to purchase one separately to use Zoho Mail for free, costing roughly $15–$20 per year, depending on the domain registrar. The only other drawback here is that you can only receive and send emails through the Zoho Mail app — meaning that you can’t add your email accounts to other apps, like Gmail or Outlook, without a paid plan. However, the platform’s free forever email hosting plan can be used as long as you have your own domain, and you don’t exceed five email accounts. How to set up Zoho Mail Here’s how to set up a business account, free on Zoho Mail, in six easy steps: Combine Microsoft and Power BI Microsoft Power BI Register a domain name if you haven’t already. Visit Zoho Mail and enter your name, input an email address or phone number, and set a password to create your account. Scroll down below the pricing table to find the free plan option and click “Sign Up for Free On the next screen, click “remind me later” to delay the setup of multi-factor authentication (or follow the steps to set it up now). Next, choose either “Use my own domain” or “Get a domain” (you can also purchase a domain through Zoho during sign-up). Verify your domain to prove its validity. You’ll do this by adding Zoho name server records where your domain is hosted. Update your mail records to officially receive emails from your domain. Zoho provides a one-click verification process for IONOS and GoDaddy domains. Navigate the Zoho Mail landing page to see its pricing plans. Add a custom domain for free. Verify your domain easily through the TXT record method. Combine Microsoft and Power BI Microsoft Power BI In the free-forever plan, you can create up to five business email addresses with 5GB of storage for each user. It comes with web email access, free mobile apps, and one of the best security systems for email hosting. Plus, you can scale with more email features and other productivity tools like Zoho Workplace or Zoho Projects as your business grows. Try it for free today. Google Workspace: Best for Gmail business email Pros and cons ProsCons 14-day free trialComplete business productivity suite (Docs, Sheets, Slides, Meet, Calendar, Gmail, and more)Strong cloud security featuresClean interface, and easy to useAutomatic translation featuresCommitment-free, month-to-monthRequires a Google Workspace plan and a domainNo end-to-end email encryption (try Proton Mail for the most security)Domain isn’t included Key features of free Gmail business emails Free business email and up to 30 email aliases from a Google Workspace subscription. Tons of ready-made integrations with other business tools. Comes with the full Google Workspace suite (with Google Docs, Slides, Sheets, etc.). Beginner-friendly email interface. Scalable plans with ample email storage (the most of any provider on this list). Add your other accounts to see all your emails …

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How to create Excel dashboards with Claude 3 AI in minutes

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How to create Excel dashboards with Claude 3 AI in minutes If you are looking for a fast and efficient way to create Excel dashboards to present your data in presentations or reports. You might be interested to know that you can use the power of Claude 3 AI to help create these Excel interactive dashboards just a few minutes. Saving you hours of time which can be spent more wisely. Creating interactive dashboards has become an essential skill and by using Claude 3 AI, a powerful artificial intelligence tool, this process has been streamlined and simplified. This guide created by the team over at My Online Training Hub will walk you through the capabilities of Claude 3 AI, the steps involved in creating an Excel dashboard. As well as highlighting important considerations to keep in mind when doing so to make the process as simple and straightforward as possible to get the best results. Creating Excel Dashboards with AI Microsoft Business Intelligence Tools for Excel Analysts Key Takeaways : Claude 3 AI simplifies the creation of interactive Excel dashboards. Developed by Anthropic with support from Google and Amazon. Accessible via a web browser and free to use. Enabling the Artifacts feature is crucial for generating visual content. Steps to create a dashboard: Upload data file, prompt analysis, generate code. Dashboards are interactive with tooltips and hover effects. Customization options include changing color themes and design elements. Limitations: Data volume limit (30 MB, 1,000 rows), limited customization, data security concerns, limited integration, need for output verification. Alternatives: Excel with AI assistance, Power BI for more robust features and larger data sets. Understanding manual dashboard creation and exploring tools like Power BI can enhance data analysis skills. Understanding the Power of Claude 3 AI Claude 3 AI is a catalyst in the realm of data visualization. Its robust features and user-friendly interface make it an ideal choice for professionals and beginners alike. Some key advantages of using Claude 3 AI include: Accessibility: Claude 3 AI is accessible via a web browser and is free to use, making it widely available to anyone with an internet connection. Versatility: The tool supports various file formats, allowing users to input data from different sources seamlessly. Intelligent Suggestions: Claude 3 AI analyzes uploaded data and suggests appropriate visualizations, saving time and effort in the dashboard creation process. Code Generation: The AI generates the necessary HTML, CSS, and JavaScript code for the dashboard, eliminating the need for manual coding. Excel dashboards with Claude 3 AI in minutes Top Excel based Business Intelligence Software in Here are a selection of other articles from our extensive library of content you may find of interest on the subject of improving your skills with Excel spreadsheets : To unlock the full potential of Claude 3 AI, users must enable the Artifacts feature. This feature is essential for generating visual elements such as charts and graphs. Activating it is a simple process that can be done through the settings of the Claude 3 AI interface. Step-by-Step Guide to Excel Dashboard Creation with AI Creating a dashboard with Claude 3 AI involves a straightforward workflow. Follow these steps to transform your data into an interactive visual masterpiece: Advanced Business Intelligence Solutions Using Microsoft Excel Excel Services Upload Your Data File: Begin by uploading your data file to Claude 3 AI. The tool supports a wide range of file formats, ensuring compatibility with your data. Prompt Analysis: Once the data is uploaded, prompt Claude 3 AI to analyze it and suggest suitable visualizations. The AI can generate various types of charts, including bar charts, pie charts, trend lines, and scatter plots, based on the nature of your data. Generate Code: Claude 3 AI will then generate the HTML, CSS, and JavaScript code required to build your interactive dashboard. This code serves as the foundation for a fully functional and visually appealing dashboard. The resulting dashboard will be interactive, featuring tooltips and hover effects to enhance user engagement. You can easily download and share the HTML file, making it convenient to distribute the dashboard to stakeholders or embed it into web pages. Customization and Interactivity Claude 3 AI offers customization options to tailor the dashboard to your specific needs and preferences. While the customization flexibility may be somewhat limited compared to more advanced tools, you can still modify color themes and design elements to align with your brand or personal style. Business Intelligence vs The interactive nature of the dashboards generated by Claude 3 AI is a standout feature. Users can explore the data by hovering over elements, revealing additional information through tooltips. This interactivity enhances the user experience and assists deeper insights into the presented data. Limitations and Considerations While Claude 3 AI is a powerful tool, it’s important to be aware of its limitations: Data Volume Limit: Claude 3 AI can handle data files up to 30 MB, with a practical limit of around 1,000 rows. For larger datasets, alternative tools may be more suitable. Customization Flexibility: The customization options in Claude 3 AI are relatively limited compared to more advanced data visualization tools. If extensive customization is required, other alternatives should be considered. Data Security Concerns: As with any AI tool that processes data, there are potential security concerns to keep in mind. Ensure that sensitive or confidential data is handled appropriately and in compliance with relevant regulations. Integration Limitations: Claude 3 AI has limited integration capabilities with other systems. If seamless integration with existing workflows or tools is crucial, alternative solutions may be more suitable. Verification of Outputs: While Claude 3 AI generates visualizations based on the provided data, it’s essential to verify the accuracy and integrity of the AI-generated outputs. Manual review and validation are recommended to ensure the reliability of the dashboards. Exploring Alternatives If Claude 3 AI doesn’t fully meet your requirements, there are alternative tools and approaches to consider: Excel with AI Assistance: Microsoft Excel, a widely used spreadsheet application, can be leveraged in conjunction with …

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Paid Apple Intelligence features won’t come until at least 2027

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Paid Apple Intelligence features won’t come until at least 2027 In years to come, some advanced Apple Intelligence features could have a price tag attached. In the forthcoming Apple Intelligence features, there was no mention of any fees or subscription charges. That could change as early as 2027. AppleInsider has previously discussed that future Apple Intelligence features, particularly those for more advanced users, could come with a subscription or fee structure. That said, it is unlikely that users will see such features before 2027 at the earliest, according to Bloomberg’s Power On newsletter. The first set of features of Apple Intelligence include a combination of intelligent summarization abilities in programs like Mail and Messages, an improved Siri assistant, image generators, and more. What Is a Business Intelligence Analyst? Making Data-Driven As with several of Apple’s “add-on” services, such as Apple TV+ or iCloud+, more advanced features of Apple Intelligence are likely with a price tag. These features would likely be for specialized areas, or for large-scale services leveraging the Private Cloud Compute technology. Subscription or paid features of Apple Intelligence are most likely be aimed mostly at corporate users, the education sector, or other business or specialist users. Some analysts have speculated that such a subscription could cost users as much as $20 per month. AI Finance Specialists: Integrating Artificial Intelligence in Financial Services Share What is a Business Intelligence Analyst? in – Reviews   Share   Share What is a Business Intelligence Analyst? in – Reviews   Email   The financial services sector, long known for its conservative approach, is undergoing a significant transformation. This change is driven largely by the rapid adoption of artificial intelligence (AI). Financial institutions, from banks to investment firms, are increasingly recognizing the immense potential of AI to revolutionize their operations. Enter the AI finance specialists—professionals who blend financial acumen with AI expertise to help organizations harness the power of AI. These specialists are pivotal in integrating AI into financial services, driving efficiency, enhancing customer experience, and mitigating risks. How to Become A Business Intelligence Analyst in : Steps For AI is not just a buzzword in finance; it is rapidly becoming a core component of the industry’s operations. AI-powered systems can process vast amounts of data at speeds unattainable by humans. This capability is particularly beneficial in the financial services sector, where timely and accurate data analysis is crucial. Streamlining Operations and Reducing Costs One of the most significant advantages of AI in financial services is its ability to streamline operations and reduce costs. Traditionally, financial institutions have relied heavily on human labor for tasks such as data entry, transaction processing, and customer service. However, these tasks are often repetitive and time-consuming. AI can automate these processes, freeing up human resources for more strategic activities. For example, AI-driven chatbots can handle routine customer inquiries, while AI algorithms can automate trade execution, significantly reducing the time and cost involved. Moreover, AI can optimize back-office functions such as compliance, fraud detection, and risk management. By automating these tasks, financial institutions can reduce operational costs while enhancing accuracy and efficiency. Enhancing Customer Experience In today’s competitive financial landscape, customer experience is a key differentiator. AI is playing a critical role in helping financial institutions deliver personalized and seamless customer experiences. AI-powered tools can analyze customer data to offer personalized financial advice, predict customer needs, and provide targeted product recommendations. This level of personalization not only enhances customer satisfaction but also fosters customer loyalty. For instance, AI-driven robo-advisors are becoming increasingly popular among investors. These platforms use AI algorithms to provide personalized investment advice based on an individual’s financial goals, risk tolerance, and investment preferences. By offering tailored investment strategies, robo-advisors are making financial planning more accessible and affordable. Improving Risk Management and Compliance Risk management is a fundamental aspect of financial services. Financial institutions must constantly monitor and mitigate risks to protect their assets and ensure regulatory compliance. AI is revolutionizing risk management by providing advanced tools for detecting and mitigating risks. AI-powered systems can analyze vast amounts of data in real time, identifying potential risks that may go unnoticed by human analysts. For example, AI algorithms can detect unusual patterns in transaction data that may indicate fraudulent activity. Additionally, AI can help financial institutions stay compliant with regulations by automating compliance checks and monitoring regulatory changes. Traditional credit scoring models rely on historical data and predefined criteria to assess an individual’s creditworthiness. However, these models may not accurately reflect an individual’s current financial situation. AI, on the other hand, can analyze a broader range of data, including non-traditional data sources such as social media activity and payment history, to provide a more accurate assessment of credit risk. The Emergence of AI Finance Specialists As AI continues to permeate the financial services sector, there is a growing demand for professionals who possess both financial expertise and AI skills. These AI finance specialists are at the forefront of integrating AI into financial services, helping organizations leverage AI to achieve their strategic goals. Bridging the Gap Between Finance and Technology AI finance specialists play a crucial role in bridging the gap between finance and technology. They possess a deep understanding of financial principles and practices, coupled with expertise in AI technologies such as machine learning, natural language processing, and data analytics. This unique combination of skills enables them to develop and implement AI solutions that address the specific needs of financial institutions. These specialists work closely with data scientists, software engineers, and financial analysts to design AI-powered tools and systems that enhance financial operations. They are involved in every stage of the AI implementation process, from identifying business challenges to developing AI models and deploying them in real-world scenarios. Driving Innovation in Financial Services AI finance specialists are also driving innovation in the financial services sector. By leveraging AI, they are developing new products and services that cater to the evolving needs of customers. For example, AI finance specialists are instrumental in the development of robo-advisors, automated trading …

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The Microsoft Dynamics 365 CRM is excellent

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Microsoft Dynamics vs. Salesforce: Comparison 2024 Salesforce vs. Microsoft Dynamics 365 Overview Salesforce’s Sales Hub and Microsoft Dynamics 365 Sales are similar products that offer most of the CRM features you expect to find in standalone CRM software. We compare these two as the primary CRM offerings from both providers, though other products exist for marketing, customer service and other work management functions. Salesforce is a highly customizable CRM that teams can configure for almost any business need, while Microsoft Dynamics 365 serves as a centralized place for customer data for teams that already use it. Salesforce vs. Microsoft Dynamics 365 Comparison Power BI – Data Visualization Microsoft Power Platform In our survey, CRM users cited workflow automation, contact activity tracking and task management as the most important CRM features. We used these insights to guide us as we tested Salesforce and Microsoft Dynamics 365. There are some notable differences between the platforms’ contact and sales pipeline management approaches, but they offer similar sales assistants powered by artificial intelligence (AI). Microsoft Dynamics is also commonly known as an enterprise resource planning (ERP) tool. Source: MarketWatch Guides Features Overview Salesforce and Microsoft Dynamics 365 offer very similar feature lists for CRM. However, Salesforce offers more native features for marketing automation. Microsoft Dynamics does not include any email-related features in the Sales product, which puts it at a disadvantage compared to many other CRM platforms. Our Salesforce Review and Microsoft Dynamics 365 Review offer more in-depth analyses of these platforms’ top features. Salesforce Sales CloudMicrosoft Dynamics 365 SalesMonthly Price Range$20-$500/user$65-$135/userContact Management✅✅Workflow Automation✅✅Lead Management✅✅Lead Scoring✅✅Pipeline Management✅✅Sales Forecasting✅✅Email Marketing Automation✅❌Analytics✅✅AI-Powered Tools✅(Einstein)✅(Copilot AI)Phone Support✅✅Live Chat✅✅ Contact Management Power BI – Data Visualization Microsoft Power Platform Microsoft Dynamics 356’s contact profiles are well-organized and easy to navigate, following a similar structure to many popular CRM systems. When we tested the platform, the profiles stood out as one of the more user-friendly features. We could add notes and easily edit contact information without searching through settings. Aside from the contact profiles, Microsoft Dynamics’s approach to the overall contact list is unique. The different Excel-powered charts allowed us to get quick insights into the customer data on the platform. For instance, we could create a drill-down chart of contacts by their city in just a few clicks. While testing the platform, we imagined plenty of use cases for these quick insights and charts. By comparison, Salesforce keeps its analytics separate from the customer profiles, which is the typical setup for customer data within most CRM platforms. The Salesforce customer profiles display contact information alongside upcoming tasks logged in the platform, related opportunities, deals and any quotes a customer has received. These capabilities make it simple for sales teams to refer to any information they need about a customer. View of a sample customer profile in Salesforce. Sales Pipeline Management Power BI – Data Visualization Microsoft Power Platform Microsoft Dynamics’s approach to the sales pipeline is unique compared to other CRM systems we’ve tested. By default, the platform organizes deals in various charts highlighting the sales funnel stages. Most platforms include a list of open deals or, most often, a Kanban-style view of the different deal stages, with movable deal cards sorted into various boards indicating their status. This could be a major plus for teams that don’t love a Kanban board. However, for teams looking for streamlined and straightforward opportunity management, it could overcomplicate how team members view the sales process in the platform. Salesforce’s default configuration for the sales pipeline is a more traditional deal tracking board with the option for a list view. We liked that dragging and dropping the deal cards with automatic deal value calculations at the top of each stage in the pipeline was easy. Sample view of the Salesforce sales pipeline. AI-Powered Features Power BI – Data Visualization Microsoft Power Platform Both Microsoft and Salesforce include AI assistants in their CRM products. Microsoft’s Copilot AI and Salesforce’s Einstein AI are helpful chatbots that users can interact with, similar to ChatGPT. These AI-powered tools also power forecasting, predictive scoring and other advanced features. Microsoft just rolled out Copilot AI last year, and it is helpful for tasks like generating a summary of an open deal; however, it struggled to understand natural language requests. AI tools across the CRM space are very new, and we expect they will learn and improve over time to help streamline CRM strategies. Pricing Microsoft Dynamics 365 and Salesforce offer similar CRM pricing structures, so comparing their pricing is straightforward. Microsoft’s primary sales product has a lower starting price than Salesforce’s Sales Cloud, and Salesforce has a much more comprehensive price range, with the top Einstein 1 Sales plan costing $500 per user per month. However, both platforms offer “starter kits”  at lower prices with various features across the board. In Salesforce’s case, these are the Starter Suite and Pro Suite, which include top features from the Sales, Marketing and Service Clouds. The Microsoft Dynamics Business Central product is similar, with key features from Dynamics 365 Sales and Service, emphasizing core business functions and finance rather than marketing. Salesforce Pricing Our Salesforce Pricing Guide offers a more in-depth look into Salesforce’s pricing structure. ProductPlanPriceSalesforce Sales CloudProfessional $80/user/month Enterprise $165/user/monthUnlimited$330/user/month Einstein 1 Sales$500/user/month Small Business (Combines Sales, Marketing and Service features) Starter Suite$25/user/monthPro Suite$100/user/month Microsoft Dynamics Pricing ProductPlanPriceMicrosoft Dynamics 365 SalesProfessional $65/user/month Enterprise $95/user/monthPremium$135/user/month Microsoft Dynamics 365 Business CentralEssentials$70/monthPremium$100/month Integrations Salesforce is difficult to beat when it comes to native integrations, and it’s easy to search for any specific third-party apps you need to connect with the Appexchange marketplace. The Microsoft Dynamics 365 CRM is excellent as part of a Microsoft ecosystem, but connecting it with outside tools is more complicated.Competitor software like Google tools won’t be available, and we were also surprised to see that Zapier integration was not an option for Dynamics 365 in the Microsoft AppSource marketplace. However, both platforms offer an API for developers. PlatformSalesforce Sales Cloud Microsoft Dynamics 365 SalesGmail✅❌Google Calendar✅❌Mailchimp✅✅Facebook Ads✅✅Zoom✅✅Slack✅✅Sprout Social✅✅Shopify✅✅Stripe✅✅PandaDoc✅✅DocuSign✅✅Five9✅✅Trello✅❌Asana✅❌Zapier✅❌ Customer Support Salesforce and Microsoft Dynamics 365 include customer support via live chat and …

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AI is approaching an open-source inflection point $75 per month

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AI is approaching an open-source inflection point $75 per month Complete digital access to quality FT journalism with expert analysis from industry leaders. Pay a year upfront and save 20%. Global news & analysisExpert opinionFT App on Android & iOSFT Edit appFirstFT: the day’s biggest stories20+ curated newslettersFollow topics & set alerts with myFTFT Videos & Podcasts20 monthly gift articles to shareLex: FT’s flagship investment column15+ Premium newsletters by leading expertsFT Digital Edition: our digitised print edition Small language models and open source are transforming AI Free and Open Source Business Intelligence Tools Logz SLMs also sharpen customization. These models can be finely tuned for specific tasks and industry domains, yielding specialized applications that produce measurable business outcomes. Whether in customer support, financial analysis, or healthcare diagnostics, these leaner models prove their effectiveness. The open source community has been a driving force behind the advancement and adoption of SLMs. Meta’s new iteration, Llama 3.1, offers a range of sizes that deliver robust capabilities without excessive resource demands. Other models, such as Stanford’s Alpaca and Stability AI’s StableLM, demonstrate that the performance of smaller models rivals or surpasses that of their larger counterparts, especially in domain-specific applications. Cloud platforms and tools from Hugging Face, IBM’s Watsonx.ai, and others are making these models more accessible and reducing entry barriers for enterprises of all sizes. This democratization of AI capabilities is a game-changer. More organizations can incorporate advanced AI without relying on proprietary, often prohibitively expensive solutions. How Women Business Owners Are Using Artificial Intelligence Free and Open Source Business Intelligence Tools Logz Written by Lesa Seibert, NAWBO National Board Secretary, member of NAWBO Kentucky and CEO of Mightily The intersection of artificial intelligence and public policy has been at the forefront this past year since President Biden issued an executive order on AI that provides entrepreneurs with access to technical assistance and resources, among other things. Senate Majority Leader Chuck Schumer followed up the executive order with a series of AI Insight Forums to discuss the intersection of AI and innovation, workforce and intellectual property issues. As the governance of AI continues to take shape in the U.S. and around the globe, it is essential that policymakers take into account its benefits to women business owners. getty AI is emerging as a powerful tool to level the playing field for women entrepreneurs. From enabling informed decisions to streamlining business operations, AI is proving to be a game-changer for women entrepreneurs in terms of running and growing their businesses. Indeed, a survey by Constant Contact found 91 percent of respondents said AI has made their companies more successful, and more than a quarter (28%) of those respondents expected it to save them at least $5,000 over the next year. Best Open Source Tools Data Teams Love (Updated) Women business owners have historically faced a unique set of challenges, including limited access to capital, markets and opportunity. For example, a survey commissioned by NAWBO in partnership with Intuit QuickBooks found almost half of respondents said extra funding would have the greatest impact on their business today, if they could get it. But AI has the potential to disrupt these barriers and open up new pathways to success. Women business owners can use AI-powered tools to save time and money, an invaluable commodity when juggling a business and family life. AI can streamline and automate basic tasks such as inventory management, invoicing, social media, financial management, and marketing, leaving women business owners with more resources to focus on growing their businesses. Tools like Notion allow women business owners to centralize all their work in one place, manage projects and optimize processes. Others like Planful help women business owners run certain financial aspects of their business, from finance and accounting to sales and marketing. One of NAWBO’s top priorities is ensuring that women business owners both have access to and are knowledgeable about tools to grow successful businesses, including AI. During our 2024 NAWBO Days event in Washington, DC in June, we asked NAWBO members to raise their hands if they were using AI, and nearly every hand in the room went up. This tells us it’s no longer a matter of will they use AI, but how will they use it, and how can we ensure that they can continue to leverage it for their businesses as AI continues to evolve? Women are already using AI to streamline and enhance productivity in their daily operations. While AI presents an opportunity to reduce the hiring squeeze, there is also the risk of worker displacement. AI must be implemented alongside workforce training/reskilling to ensure that workers can remain competitive in the labor market. NAWBO members have consistently ranked recruiting and hiring skilled workers as a top challenge they face. AI platforms are also helping women business owners make informed business decisions with data-driven insights. AI is capable of quickly analyzing large sets of data and identifying patterns that a human might miss. Women business owners can use this capability to optimize inventory, price products, or identify customer preferences—all without the need for deep technical expertise. Additionally, women business owners are utilizing AI platforms to navigate global markets. Language translation, cultural insights and market analysis provided by AI are helping women business owners tap into international opportunities that were once difficult to access. For example, research has shown eBay’s machine translation service to have increased exports on the platform by 10.9 percent. Importantly, the International Trade Commission has found small businesses that export have higher total revenue growth and outperform those that do not. The dismantling of traditional barriers, alongside the adoption of entrepreneur-supportive practices such as open-source programming, has carved out fresh opportunities for female entrepreneurs. Open-source programming is provided at no cost by a range of organizations including corporations, nonprofit entities and governmental bodies. This approach empowers women entrepreneurs to develop innovative products, add value and address contemporary challenges through their distinct viewpoints. For instance, the female-led startup Evidently AI, hailing from San Francisco, is at …

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reasons to use Microsoft Power BI Stitch

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Microsoft announces Power BI Premium Microsoft is expanding its business analytics and intelligence portfolio with the announcement of Power BI Premium. Power BI Premium is an extension of the company’s Power BI solution that provides improved performance for larger data volumes. “Power BI was first made generally available in July 2015. Since then, Microsoft’s driving vision for Power BI has been to enable users across roles, disciplines and industries to sign up for the service in seconds and get business value by drawing insights from their data within minutes,” Kamal Hathi, general manager at Microsoft, wrote in a post. “Power BI Premium builds on the existing Power BI portfolio with a capacity-based licensing model that increases flexibility for how users access, share and distribute content.” The new solution features expanded licensing flexibility, improved scale and performance, Power BI apps, extends on-premises capabilities, and provides embedded analytics. The solution also provides the Power BI Reporter Server, an on-premises solution for reporting. Power BI – The Data Crew In addition, the company announced it is improving the free Power BI service. Going forward, the service will provide the same functionality of Power BI Pro, but with limitations to sharing and collaboration features. Users will now be able to take advantage of the data sources, workspace storage limits, and higher refresh and streaming rates. “Just as Power BI Premium simplifies large-scale BI deployments, today we’re also simplifying the distinction between Power BI Pro and the free service. While the free service is intended for personal use and Power BI Pro enables collaboration, we’ve received feedback that functional differences between them have created confusion for users,” Hathi wrote. More information about Power BI Premium is available here. The 5 Best Call Tracking Software (Low Spend, High Return) Power BI – Data Visualization Microsoft Power Platform Giving attribution to the marketing channels that bring in callers is a must for maximizing ROI. Call tracking software is designed to identify where callers come from, so you know which marketing strategies are working and which ones aren’t. By spending a little upfront, you can drive more revenue in the long run. Top call tracking software comparison Call tracking platforms come in all flavors, from basic and easy to advanced and powerful. Here’s a look at a few of the areas that make my top picks different from one another. Best forStarting priceFree trialKeyword spottingIVRIntegrations CallRailBest overall$45 per month14 daysSome plansAdd-on33 + Zapier InvocaMulti-touch attributionCustom quoteDemo onlyAdd-onSome plansAdd-on WhatConvertsE-commerce$30 per month14 daysAll plansSome plans1,000+ CallTrackingMetricsCall center call tracking$65 per month30 daysSome plansAll plans46 + Make and Zapier InfinityOmnichannel tracking$199 per monthDemo onlyTop tier onlyAdd-on27 CallRail: Best call tracking software overall reasons to use Microsoft Power BI Stitch Image: CallRail When it comes to call tracking software that truly has it all, it’s hard to beat CallRail. It offers streamlined call attribution, so you know exactly how callers find you and you can quickly compare channels side-by-side to see which campaigns have the most impact. Why I chose CallRail CallRail helps you track every touchpoint in the marketing funnel. With visitor-level tracking, you can see what happens before someone calls your business from a deeper, big-picture perspective. And with advanced analytics, you can ensure your decisions are always fueled by 100% objective data. This, along with IVR analytics, is a potent combination. Despite its power, CallRail is one of the more affordable options on my list. Power BI – Data Visualization Microsoft Power Platform Pricing Call Tracking: $45 per month + usage. Call Tracking + Conversation Intelligence: $90 per month + usage. Call Tracking + Form Tracking: $90 per month + usage. Call Tracking Complete: $135 per month + usage. All plans include five free local numbers, 250 local minutes per month, and 100 text messages per month. Plans with form tracking include 1,000 submissions and those with transcriptions include 7,500 complimentary minutes. SEE: Why Career Road Maps Attract and Retain Support Technicians (TechRepublic Premium) Each additional local number is $3, extra local minutes are $0.05 each, toll-free numbers are $5, toll-free minutes are $0.08, and extra texts are $0.016 each. Power BI – Data Visualization Microsoft Power Platform Features Simple call attribution. Custom menus and call routing. Call recording and scoring. 7,500 free transcription minutes. AI-driven conversational intelligence. Dynamic number insertion. Detailed analytics. CallRail provides a detailed timeline view. Image: CallRail Pros and cons ProsCons Local numbers are cheap.Second-most affordable option.Cutting-edge conversational intelligence.Easy to connect leads with the right people.Data for virtually every customer touchpoint.Many integrations cost extra.Limited customization options.White labeling is limited to higher tiers. Invoca: Best for multi-touch attribution Image: Invoca While most call tracking tools offer multi-touch attribution, it’s Invoca’s bread and butter. Understanding every touch point is key to a higher volume of quality leads and getting the most of your marketing budget — working with a provider that specializes in it gives you all of the top-tier tools you need to do it well. Why I chose Invoca I’m impressed with how Invoca uses advanced AI to instantly measure the quality of each lead. Using Signal AI, which features cutting-edge voice biometric technology, you can distinguish casual callers from those with a strong likelihood of buying. From there, you can decide who to prioritize. I also like that it makes it easy to recover lost sales opportunities. Say someone has serious intent to buy calls but you don’t answer — Invoca will notify a manager so you can follow up right away. Pricing Invoca offers custom pricing. For brands and agencies, there are three plans: Pro: 6,000 annual minutes and 5 custom signals. Enterprise: 12,000 annual minutes and 50 custom signals. Elite: 18,000 annual minutes and 100 custom signals. Each plan also comes with different features. As you go up to higher tiers, you get more of the add-ons at no extra cost. There are also pay-per-call and affiliate marketing plans for performance marketers, including: Performance Professional: Standard features + campaign management and payouts. Performance Enterprise: Dynamic routing, advanced IVR, and whisper. You …

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The Coolest Business Analytics Companies Of The 2023 Big Data 100

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The Coolest Business Analytics Companies Of The 2023 Big Data 100 Part 1 of CRN’s Big Data 100 takes a look at the vendors solution providers should know in the data analytics and business intelligence space. Analytical Approach It’s no surprise that in diagrams and visual representations of big data IT systems, data analytics and visualization software are usually at the top of the big data “technology stack.” They are the software tools that business analysts and information workers use to gain understanding and insight from the exponentially growing volumes of data businesses are generating today and to share that knowledge throughout an organization. What is Business Intelligence? A Complete Guide Qlik Worldwide sales of business intelligence software are expected to reach $25.73 billion this year, up 8.6 percent from $23.70 billion in 2022, and reach $34.16 billion by 2028, according to market research firm Statista. “Companies’ needs for data insights, customer analyses, and all kinds of business processes have strongly increased due to digitization and data that is collected online. This development drives the demand for enterprise software, especially business intelligence software,” said a Statista report. As part of the CRN 2023 Big Data 100, we’ve put together the following list of business analytics software companies—from well-established vendors to those in startup mode—that solution providers should be familiar with. These vendors offer everything from self-service reporting and data visualization tools for nontechnical managers and business users to high-performance business analysis software needed by data analysts to tackle the most complex business intelligence tasks. What is Business Intelligence? A Complete Guide Qlik This week CRN is running the Big Data 100 list in a series of slide shows, organized by technology category, spotlighting vendors of business analytics software, database systems, data warehouse and data lake systems, data management and integration software, data observability tools, and big data systems and cloud platforms. Some vendors market big data products that span multiple technology categories. They appear in the slideshow for the technology segment in which they are most prominent. Ahana Co-Founder and CEO: Steven Mih What is Business Intelligence? A Complete Guide Qlik Ahana develops Ahana Cloud for Presto, a software-as-a-service data analytics service based on Presto, the open-source SQL query engine used to query data in a range of data sources including database and data lakehouse systems. Venture-backed Ahana, founded in 2020 and based in San Mateo, Calif., was acquired by IBM earlier this month. With the acquisition IBM joined the Presto Foundation, part of the Linux Foundation. Alteryx CEO: Mark Anderson Qlik Sense Modern Analytics Alteryx offers its flagship Alteryx Analytics Automation Platform, a unified data analytics and data science automation system, and the Alteryx Analytics Cloud Platform, along with a number of additional business intelligence, machine learning and developer tools. In February the company unveiled new self-service and enterprise-grade capabilities to the enterprise edition. Alteryx executives say the Irvine, Calif.-based company has recorded significant momentum in the channel after undertaking a major expansion of its partner program in 2022 as part of a shift to a more partner-centric sales strategy. AtScale CEO: Chris Lynch AtScale develops semantic layer technology for business intelligence that the company says insulates data consumers from the complexity of working with raw data. The AtScale software creates a business-oriented data model and virtualizes queries for cloud data platforms such as Amazon Redshift, Snowflake, Google Big Query and Databricks without the need for ETL (extract, transform, load) tools or data movement. This year AtScale, headquartered in Boston, has expanded its connections to the Databricks platform, including the Databricks Lakehouse for Manufacturing, and achieved the Snowflake Ready Technology Valuation for business intelligence solutions. In April the company introduced code-first data modeling capabilities for its semantic layer platform. CelerData CEO: James Li Startup CelerData markets a high-performance unified analytics platform based on the StarRocks massively parallel processing SQL database for real-time analytics. CelerData’s founders developed StarRocks in 2020 and earlier this year contributed it to the Linux Foundation. In March CelerData, headquartered in Menlo Park, Calif., took aim at the fast-growing data lakehouse space with a new release of its software with a cloud-native architecture, real-time streaming analytics, and support for open data table formats Hudi, Iceberg and Delta Lake. Domo CEO: Josh James Domo develops its namesake “data experience” platform, a cloud-based, mobile data analytics and visualization system that provides decision makers with real-time business data from a wide range of operational applications and data sources. In March the American Fork, Utah-based company debuted Domo Cloud Amplifier, which the company says helps users unlock data across multiple cloud platforms using a single virtual layer. On March 6, Domo said that John Mellor, who served as Domo’s chief strategy officer for three years and then CEO for more than a year, was stepping down and that Josh James, the company’s founder and original CEO, was again assuming the CEO post. Hitachi Vantara CEO: Gajen Kandiah Hitachi Vantara, a wholly-owned subsidiary of Hitachi Ltd., offers a portfolio of data analytics, data storage and data operations products, the latter including data integration, catalog and optimization tools and content intelligence software. The product suite includes the company’s Pentaho data integration and analytics platform. Incorta CEO: Osama Elkady Incorta develops the Open Data Delivery Platform, a system for acquiring, processing and analyzing raw, operational data from business applications in real time. The platform, with Incorta’s Direct Data Mapping technology, connects to more than 240 data sources. In March, Incorta, based in San Mateo, Calif., joined Google Cloud’s Ready BigQuery and AlloyDB in initiatives, validating its technology for those Google Cloud systems and making it easier for businesses and organizations to move business application and ERP (enterprise resource planning) data into the cloud. Kyligence CEO: Luke Han Kyligence Enterprise, the company’s flagship multi-dimensional analytics platform, is designed to analyze massive datasets with its data modeling, query and processing capabilities. The platform is based on the open-source Apache Kylin distributed OLAP engine that was developed by Kyligence’s founders. Earlier this month San Jose, Calif.-based …

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Why Business Intelligence (BI) Is A Must-Have Tool for Every

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Should Central Maine Power go “dark” to the regulators? A proposed financial reorganization of Central Maine Power (CMP), the state’s dominant electric company, is generating fierce consumer opposition at the Maine Public Utilities Commission. Augusta-based Avangrid (NYSE:AGR), CMP’s owner since 2015, is 81.6% owned by Spanish energy conglomerate Iberdrola, which wants the state regulators to rubber stamp a deal where Iberdrola would acquire the remaining 18.4% of Avangrid for $2.5 billion. Iberdrola said, “The objective of this transaction is to increase exposure to the networks business in the United States at a key moment for Iberdrola, which wants to grow in markets with strong credit ratings and in regulated businesses such as networks.” Why Business Intelligence (BI) Is A Must-Have Tool for Every Iberdrola in May asked the MPUC to waive a provision of state law that give the commission the authority over reorganizations of state public utilities, essentially letting the deal go forward without full review, including public hearings. Avangrid argues that because Iberdrola already effectively owns the utility, the new transaction doesn’t represent a significant change and the regulators should simply let it go into effect. The state’s savvy and well-organized utility consumer organization Our Power as well as Maine’s Office of the Public Advocate, the official state consumer advocate, are challenging the decision. They argue it is a way for CMP, already highly unpopular, to avoid regulation by reducing the ability of the state and consumers to access crucial company financial information. The Public Advocate filing argued, “In this case there is clearly the potential for harm to Maine utility ratepayers….While Petitioners claim the proposed transaction will have no impact on Maine utility customers, that is a factual question that should be resolved after carefully weighing the evidence to be gathered in the case, it should not be assumed at the outset by way of exemption. At a minimum, the transaction has the potential to reduce transparency as Avangrid will no longer be required to make SEC filings required of publicly traded companies. This is at least a potential harm that could impact customers of the Maine utilities.” Dynamics Business Central Usage Analytics Our Power, the state-wide consumer protection group, was the leader of last November’s failed ballot initiative to create a public power system, Pine Tree Power, to take over both CMP and the much smaller Versant Power. Our Power said in its brief that “the key to this transaction is not its size, $2.5 Billion, not the proportion of Avangrid’s share owners that would be selling, 18.4%, but is the fact that all of Avangrid’s outstanding publicly-owned shares would be acquired, thus taking Avangrid private – making it the wholly owned creature of Iberdrola and ‘taking it dark.’” Our Power hired veteran Washington consumer advocate lawyer Scott Hempling to make its detailed case against giving the Iberdrola plan a green light. Hempling most recently was an administrative law judge at the Federal Energy Regulatory Commission. In his August 12 direct testimony, Hempling  argued that “the proposed transaction has, for the Maine utilities’ ratepayers, multiple detriments but no benefits. Iberdrola will give up $2.5 billion of its scarce capital to eliminate thousands of small shareholders – shareholders whose conservative investment goals act as a brake on Iberdrola’s and Avangrid’s risk-taking. That is a detriment. Avangrid will then go private, depriving this Commission, it staff, and the many financial analysts expert in assessing the business risks that affect Maine’s utilities, of the extensive financial reporting that Avangrid makes (and that the utilities, before their takeover by Avangrid and Iberdrola, made) to the Securities and Exchange commission. That is another detriment.” Hempling added, “All that Petitioners offer in return is a nonfactual, noncommittal assertion that an Iberdrola that owns 100% rather than 81.6% of Avangrid ‘will improve’ Avangrid and Iberdrola’s access to capital. What matters to this Commission is not Avangrid’s or Iberdrola’s access to capital. In the U.S. utility world, what ensures a utility’s access to capital is proper rate-setting by its state commission. A state commission is bound, by statutory and constitutional law, to set rats sufficient to provide the utility a return on equity – specifically, equity invested to provide obligatory service equal to what the utility’s shareholders would earn on investment in businesses of comparable risk….” BI for Microsoft Dynamics Business Central Cloud “That Iberdrola’s and Avangrid’s access to capital is even an issue here is only because Iberdrola and Avangrid take nonutility risks with the capital they have. If the Commission has concerns about those risks, the answer is to eliminate the risks; the answer is not to eliminate the minority shareholders whose presence helps to limit those risks.” CMP is the state’s dominant electric company, with some 653,000 customers. Maine’s other investor-owned utility is Bangor-based Versant Power, with some 165,000 customers. Its owner is ENMAX Corp. of Calgary, Alberta, Canada. –Kennedy Maize kenmaize@gmail.com Microsoft Power BI and Business Central by Sqit consulting Medium The Quad Report Transforming Your Organization with the Power of Business Intelligence Share   Share   Share   Email   With the ability to drive strategic initiatives, make educated decisions and extract valuable insights from raw data, business intelligence (BI) has become a key enabler for organizational success. BI has revolutionized the way businesses operate and plan for the future in this age of intense competition and rapid technological advancement. One of the most powerful business intelligence tools available, Intellicus has provided tailored solutions to over 17,000 small and large businesses, enabling them to make data-driven decisions. Understanding Business Intelligence Business Intelligence (BI) is a technology-driven process that analyzes business data to provide actionable information that informs strategic and operational decisions. It involves collecting, storing, analyzing, and visualizing data to uncover patterns, trends, and insights that drive business performance. It combines internal and external data sources into a logical framework that helps produce insights that can be put into action. Business intelligence is a valuable resource that facilitates managers, executives and stakeholders to make informed decisions. Business Intelligence (BI) is a technology-driven process that analyzes business data to provide actionable information that informs strategic …

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Ethical Considerations in BI

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Business Intelligence vs. Competitive Intelligence: What’s the Difference? Business Intelligence vs. Competitive Intelligence: An Overview Competitive intelligence is the act of understanding a company’s industry and industry rivals so the company can make better business decisions. Business intelligence refers to the tools, software, and systems that play a vital role in the strategic planning process of a company. Key Takeaways Competitive intelligence is the outward-focused analysis of a business’s competitors to identify advantages and potential strategies.In contrast, business intelligence is the inward-focused evaluation of the business’s own data, which can help improve efficiency and growth.Combining both business and competitive intelligence provides a framework for action that can help increase stability, profitability, and success. Competitive Intelligence Competitive intelligence is an acute type of market research conducted by a business. With competitive intelligence, businesses use the same type of tactics utilized when conducting market research; however, the focus is to answer more target questions rather than review broad market trends. Competitive intelligence can include the knowledge of a competitor’s operations or business partners, as well as a deeper understanding of the industry in which a company operates. Competitive intelligence is any material information a company possesses that allows it to make better-informed decisions than the average company in its industry. It does so to operate more efficiently. Conducting competitive intelligence allows a company to spot opportunities in the market and beat out its competitors. For example, a company might follow messages on X (formerly Twitter), blog posts, LinkedIn profiles, and email blasts to track what a competitor is doing. Benefits of Competitive Intelligence Increased marketing efficiency: Your research can help you win back market share or identify target markets that your competitors may have missed.Increased sales: Your sales staff will be able to close more sales when they can position your product competitively against others in the market.Improved products: Competitive intelligence can help your research and development team improve and iterate on your offering.Reduced risk: When you know what tactics your competitors have tried (and failed), you can more easily sidestep pitfalls, focus on proven strategies, and generate growth. Business Intelligence Business intelligence represents the physical tools and software a company uses to gather intelligence and research. Companies then use that information to make decisions. These tools and software combine to make systems that allow a company to gather, store, and analyze raw business data in a way that helps it make the right decisions. Business intelligence systems normally operate to collect data in the areas of customer support, market research, competitive intelligence, product performance, and other statistical analyses. Benefits of Business Intelligence Speed up product design: Evaluate the most popular features and use cases to develop your customers’ ideal product and release it faster. Improved product launches: Metrics can help you improve the performance of your campaigns by identifying the highest-performing pieces and audiences. Improved sales strategies: By analyzing which deals are most effective, the sales team can be trained to close more sales. Strengthened human resources: Evaluating employee data can uncover trends in company culture and employee satisfaction, and even reveal causes for high turnover so you can improve retention. Better executive decision-making: Management can make informed decisions when guiding the direction of the company when it has the best available data. Key Differences Although both types of intelligence are broadly concerned with increasing sales and growing profitability, there are some differences between business intelligence and competitive intelligence. Consultoria de Business Intelligence RCR + anos experiência Competitive intelligence Business intelligence Outward-facing Inward-facing Improves positioning Improves systems Predicts competitors’ moves Guides the business’s moves Relies on third-party data Relies on internal data How Can Business Intelligence Help You Gain Competitive Advantage? Business intelligence can help a company gain an advantage in the marketplace by streamlining its operations, reducing inefficiencies, and identifying new sales opportunities. For example, a company can reduce inventory of stock that isn’t selling, replace it with stock with a higher profit margin, and win over customers with improved sales strategies. How Do Companies Gather Competitive Intelligence? There are several different ways a company can obtain data about its competitors in the market. Your competitors’ own social media, press releases, and annual reports (as applicable) can give insight into their upcoming moves, as can trade magazines and industry reports. Observing and talking with customers and industry experts can also reveal trends in customer opinion and behavior toward your competitors. Consultoría Business Intelligence – Consultores IA How Do You Do Competitive Intelligence ? The competitive intelligence process begins with identifying your competitors, their offerings, and their market position. Once you have identified your rivals, you’ll conduct research and gather information. When you have gathered your data, you must analyze it to draw the conclusions that will form the basis of your action plan. At that point, it’s time to execute your plan. Keep in mind that competitive intelligence is an ongoing process, so you’ll need to continue to monitor your competitors if you want to stay one step ahead. The Bottom Line Business intelligence is a company’s inward-facing analysis that is focused on improving efficiency, and competitive intelligence is outward-facing research that aims to predict a competitor’s next moves. While both competitive intelligence and business intelligence can help a company prosper, understanding the benefits of each will help you get the best insights. Transforming Your Organization with the Power of Business Intelligence Consultoría Business Intelligence (BI) IBSO Share   Share   Consultoría en Business Intelligence para su Empresa – BeMentors Share   Email   Contratar Consultor Business Intelligence Kinesis With the ability to drive strategic initiatives, make educated decisions and extract valuable insights from raw data, business intelligence (BI) has become a key enabler for organizational success. BI has revolutionized the way businesses operate and plan for the future in this age of intense competition and rapid technological advancement. One of the most powerful business intelligence tools available, Intellicus has provided tailored solutions to over 17,000 small and large businesses, enabling them to make data-driven decisions. Understanding Business Intelligence Business …

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Business Intelligence Platforms: Best Analytics & BI Platforms

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How Women Business Owners Are Using Artificial Intelligence Written by Lesa Seibert, NAWBO National Board Secretary, member of NAWBO Kentucky and CEO of Mightily The intersection of artificial intelligence and public policy has been at the forefront this past year since President Biden issued an executive order on AI that provides entrepreneurs with access to technical assistance and resources, among other things. Senate Majority Leader Chuck Schumer followed up the executive order with a series of AI Insight Forums to discuss the intersection of AI and innovation, workforce and intellectual property issues. As the governance of AI continues to take shape in the U.S. and around the globe, it is essential that policymakers take into account its benefits to women business owners. getty Business Intelligence Platforms: Best Analytics & BI Platforms AI is emerging as a powerful tool to level the playing field for women entrepreneurs. From enabling informed decisions to streamlining business operations, AI is proving to be a game-changer for women entrepreneurs in terms of running and growing their businesses. Indeed, a survey by Constant Contact found 91 percent of respondents said AI has made their companies more successful, and more than a quarter (28%) of those respondents expected it to save them at least $5,000 over the next year. Women business owners have historically faced a unique set of challenges, including limited access to capital, markets and opportunity. For example, a survey commissioned by NAWBO in partnership with Intuit QuickBooks found almost half of respondents said extra funding would have the greatest impact on their business today, if they could get it. But AI has the potential to disrupt these barriers and open up new pathways to success. Women business owners can use AI-powered tools to save time and money, an invaluable commodity when juggling a business and family life. AI can streamline and automate basic tasks such as inventory management, invoicing, social media, financial management, and marketing, leaving women business owners with more resources to focus on growing their businesses. Tools like Notion allow women business owners to centralize all their work in one place, manage projects and optimize processes. Others like Planful help women business owners run certain financial aspects of their business, from finance and accounting to sales and marketing. One of NAWBO’s top priorities is ensuring that women business owners both have access to and are knowledgeable about tools to grow successful businesses, including AI. During our 2024 NAWBO Days event in Washington, DC in June, we asked NAWBO members to raise their hands if they were using AI, and nearly every hand in the room went up. This tells us it’s no longer a matter of will they use AI, but how will they use it, and how can we ensure that they can continue to leverage it for their businesses as AI continues to evolve? Visual Business Intelligence – Big vs Women are already using AI to streamline and enhance productivity in their daily operations. While AI presents an opportunity to reduce the hiring squeeze, there is also the risk of worker displacement. AI must be implemented alongside workforce training/reskilling to ensure that workers can remain competitive in the labor market. NAWBO members have consistently ranked recruiting and hiring skilled workers as a top challenge they face. AI platforms are also helping women business owners make informed business decisions with data-driven insights. AI is capable of quickly analyzing large sets of data and identifying patterns that a human might miss. Women business owners can use this capability to optimize inventory, price products, or identify customer preferences—all without the need for deep technical expertise. Additionally, women business owners are utilizing AI platforms to navigate global markets. Language translation, cultural insights and market analysis provided by AI are helping women business owners tap into international opportunities that were once difficult to access. For example, research has shown eBay’s machine translation service to have increased exports on the platform by 10.9 percent. Importantly, the International Trade Commission has found small businesses that export have higher total revenue growth and outperform those that do not. The dismantling of traditional barriers, alongside the adoption of entrepreneur-supportive practices such as open-source programming, has carved out fresh opportunities for female entrepreneurs. Open-source programming is provided at no cost by a range of organizations including corporations, nonprofit entities and governmental bodies. This approach empowers women entrepreneurs to develop innovative products, add value and address contemporary challenges through their distinct viewpoints. For instance, the female-led startup Evidently AI, hailing from San Francisco, is at the forefront of this movement, creating an open-source tool designed to assess, identify and rectify problems within machine learning models. Business Intelligence Reporting: A Complete Guide Qlik In conclusion, AI is playing a pivotal role in empowering women business owners by enhancing decision-making, offering resourceful solutions and unlocking new possibilities. It is incumbent upon policymakers to nurture this trajectory by extending training, resources and bolstering the support ecosystem for women embarking on the path of AI integration in business. Photo courtesy of Karianne Munstedt Lesa Seibert is the 2024-2025 NAWBO National Board Secretary and CEO of Mightily. Mightily, founded in 2013 and based in Louisville, Kentucky, is one of the region’s preeminent digital-first branding and advertising agencies and provides full-service support to local, regional and global brands in the areas of web development and technology, branding and creative services and media buying, strategy and ongoing management. She is a speaker on the topics of branding, marketing, business strategy and economic development. 7 Best-Performing AI Stocks for August 2024 AI stocks have seen tremendous growth in 2024. NVIDIA in particular has hogged much of the spotlight for its massive spike in value, briefly overtaking Apple and Microsoft in June 2024 to become the world’s most valuable company. However, in recent weeks, there’s been some speculation that the hype around AI may be overblown, or that geopolitical issues could stymie semiconductor development that’s critical to AI’s success. Indeed, NVIDIA’s time at the top was short-lived, and by late …

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Business Intelligence vs. Competitive Intelligence

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Business Intelligence vs. Competitive Intelligence: What’s the Difference? Business Intelligence vs. Competitive Intelligence: An Overview Competitive intelligence is the act of understanding a company’s industry and industry rivals so the company can make better business decisions. Business intelligence refers to the tools, software, and systems that play a vital role in the strategic planning process of a company. Key Takeaways Competitive intelligence is the outward-focused analysis of a business’s competitors to identify advantages and potential strategies.In contrast, business intelligence is the inward-focused evaluation of the business’s own data, which can help improve efficiency and growth.Combining both business and competitive intelligence provides a framework for action that can help increase stability, profitability, and success. Competitive Intelligence Competitive intelligence is an acute type of market research conducted by a business. With competitive intelligence, businesses use the same type of tactics utilized when conducting market research; however, the focus is to answer more target questions rather than review broad market trends. Competitive intelligence can include the knowledge of a competitor’s operations or business partners, as well as a deeper understanding of the industry in which a company operates. Competitive intelligence is any material information a company possesses that allows it to make better-informed decisions than the average company in its industry. It does so to operate more efficiently. Conducting competitive intelligence allows a company to spot opportunities in the market and beat out its competitors. For example, a company might follow messages on X (formerly Twitter), blog posts, LinkedIn profiles, and email blasts to track what a competitor is doing. Benefits of Competitive Intelligence Increased marketing efficiency: Your research can help you win back market share or identify target markets that your competitors may have missed.Increased sales: Your sales staff will be able to close more sales when they can position your product competitively against others in the market.Improved products: Competitive intelligence can help your research and development team improve and iterate on your offering.Reduced risk: When you know what tactics your competitors have tried (and failed), you can more easily sidestep pitfalls, focus on proven strategies, and generate growth. Business Intelligence Business intelligence represents the physical tools and software a company uses to gather intelligence and research. Companies then use that information to make decisions. These tools and software combine to make systems that allow a company to gather, store, and analyze raw business data in a way that helps it make the right decisions. Business intelligence systems normally operate to collect data in the areas of customer support, market research, competitive intelligence, product performance, and other statistical analyses. Benefits of Business Intelligence Speed up product design: Evaluate the most popular features and use cases to develop your customers’ ideal product and release it faster. Improved product launches: Metrics can help you improve the performance of your campaigns by identifying the highest-performing pieces and audiences. Improved sales strategies: By analyzing which deals are most effective, the sales team can be trained to close more sales. Strengthened human resources: Evaluating employee data can uncover trends in company culture and employee satisfaction, and even reveal causes for high turnover so you can improve retention. Better executive decision-making: Management can make informed decisions when guiding the direction of the company when it has the best available data. Key Differences Although both types of intelligence are broadly concerned with increasing sales and growing profitability, there are some differences between business intelligence and competitive intelligence. Power BI as a Tool for Business Intelligence by Yang Towards Competitive intelligence Business intelligence Outward-facing Inward-facing Improves positioning Improves systems Predicts competitors’ moves Guides the business’s moves Relies on third-party data Relies on internal data How Can Business Intelligence Help You Gain Competitive Advantage? Business intelligence can help a company gain an advantage in the marketplace by streamlining its operations, reducing inefficiencies, and identifying new sales opportunities. For example, a company can reduce inventory of stock that isn’t selling, replace it with stock with a higher profit margin, and win over customers with improved sales strategies. How Do Companies Gather Competitive Intelligence? There are several different ways a company can obtain data about its competitors in the market. Your competitors’ own social media, press releases, and annual reports (as applicable) can give insight into their upcoming moves, as can trade magazines and industry reports. Observing and talking with customers and industry experts can also reveal trends in customer opinion and behavior toward your competitors. Power BI Business Analytics & Business Intelligence Big Data How Do You Do Competitive Intelligence ? The competitive intelligence process begins with identifying your competitors, their offerings, and their market position. Once you have identified your rivals, you’ll conduct research and gather information. When you have gathered your data, you must analyze it to draw the conclusions that will form the basis of your action plan. At that point, it’s time to execute your plan. Keep in mind that competitive intelligence is an ongoing process, so you’ll need to continue to monitor your competitors if you want to stay one step ahead. The Bottom Line Business intelligence is a company’s inward-facing analysis that is focused on improving efficiency, and competitive intelligence is outward-facing research that aims to predict a competitor’s next moves. While both competitive intelligence and business intelligence can help a company prosper, understanding the benefits of each will help you get the best insights. Hidden Apple Intelligence Features Revealed Power BI – Data Visualization Microsoft Power Platform Apple’s latest iOS 18.1 beta 2 update brings a suite of advanced AI-driven features for Apple Intelligence designed to transform your user experience. These hidden gems leverage Apple’s innovative AI technology to automate tasks, enhance communication, and create personalized content, ultimately streamlining your daily interactions with your device. Let’s dive into the details of these innovative features. Smart Reply: Effortless Email and Message Responses The Smart Reply feature in iOS 18.1 takes the hassle out of responding to emails and messages. Intelligently analyzing the content of your incoming communications suggests complete, contextually relevant replies. Whether you receive an email requesting …

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How Gen Z Is Changing Business and the Workplace

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Microsoft to reinvent office apps with Artificial Intelligence toolsWashington [US], March 17 (ANI): Microsoft is reinventing its Power Platform’s software development, including Outlook, PowerPoint, Excel and Word, with AI-powered no-code development and adding new features like Copilot. In an event on Thursday (Local Time), the company announced that Microsoft 365 users will soon be able to use what the company is calling an AI “Co-pilot,” Microsoft said in a statement. “Makers now have a live in-studio copilot that helps them build solutions and provides suggestions for improvement. To build an app, flow, or bot, you can describe it using natural language and the copilot can build it in seconds. It is that easy,” the statement read. “Copilot in Power Apps makes it easy to keep data at the centre of every application. Describe your application’s purpose and a data table is automatically generated for your app. Using Copilot, makers can then leverage natural language to refine the app to suit their needs. Now, everyone can build an app, and professional developers can also save more time, by focusing on more complex code, components, and integrations. Learn more about Copilot in Power Apps,” it added. Power BI – Dynamics Solutions Microsoft Power Platform said it has empowered all developers with AI-powered development experiences since 2021. Power Apps was one of the first products to use GPT in a commercial capacity, and express design in Power Apps has enabled makers to automatically turn their drawings, images and Figma documents into app user interfaces (UIs). This union of AI and low code revolutionizes the way solutions are built and fundamentally transforms the way people work, collaborate, and create. In addition to Copilot, and the recent create text with the GPT model feature in AI Builder and conversation boosters in Power Virtual Agents announcements, Microsoft is also announcing another set of AI-powered capabilities across the Microsoft Power Platform. This includes streamlining the user experience with embedded GPT-enabled chatbots in Power Apps, that provide an in-app assistant. It also includes GPT-enabled data exploration in Power Apps, which enables end users to intelligently query their data for immediate and actionable insights. Power BI – Data Visualization Microsoft Power Platform Microsoft’s announcement comes a month after it brought similar AI-powered features to Bing and amid a renewed arms race in the tech industry to develop and deploy AI tools that can change how people work, shop and create. Earlier this week, rival Google announced it is also bringing AI to its productivity tools, including Gmail, Sheets and Docs, CNN reported. The news also comes two days after OpenAI, the company behind Microsoft’s artificial intelligence technology and the creator of ChatGPT, unveiled its next-generation model, GPT-4. The update has stunned many users in early tests and a company demo with its ability to draft lawsuits, pass standardized exams and build a working website from a hand-drawn sketch, according to CNN. (ANI) How Gen Z Is Changing Business and the Workplace As the first true digital natives enter the workforce, employers face the challenge of understanding and meeting the unique psychological needs and expectations of Generation (Gen) Z. According to the Pew Research Center, Gen Z includes those born between 1997 and 2012, many of whom are entering the workforce today. Power BI – Data Visualization Microsoft Power Platform A greater understanding of the unique needs of Gen Z can help organizations develop strategies to attract, hire, retain, and engage this up-and-coming generation. For example, as I discuss in my latest book, Experiential Intelligence, engaging in diverse life experiences not only develops new skills but also fosters resilience and agility—traits crucial for future personal and business success. Gen Z intuitively understands this; 90% of Gen Z want to participate in internships, and 70% consider certification courses outside traditional college as a viable path for professional development. These statistics and more come from a recent survey of over 10,000 students across all 50 U.S. states by the National Society of High School Scholars (NSHSS), which revealed that: A majority (59%) of youth believe AI will negatively impact society over the next decade. More than half (55%) are highly concerned about AI’s impact on personal privacy, and 62% worry about job displacement. Student debt remains a significant concern, with one-quarter of students expecting to incur $10,000 to $50,000 in debt, but only 14% anticipate family financial assistance Preferred employers include Google, Amazon, and Apple, yet health care and STEM fields remain top job targets. Nearly half (48%) of Gen Z prioritize clear communication skills in an employer. Two-thirds (66%) plan to live at home when starting their first job, with 73% intending to stay for one to two years. So, how can employers effectively engage this next-generation workforce? Power BI – Data Visualization Microsoft Power Platform Communicate Clearly. Transparency and straightforward communication are crucial for Gen Z. Nearly half of respondents ranked clear communication as the top employer quality. Organizations should ensure job descriptions, role expectations, and growth opportunities are transparent. Provide Financial Guidance. Gen Z faces unprecedented financial pressures, with many expecting significant student debt and limited family assistance. Employers can differentiate themselves by offering robust financial benefits. Forty-four percent of Gen Z expect employers to help with student loan repayment. Financial wellness programs, tuition reimbursement, and clear career advancement paths can make an organization more appealing to debt-burdened graduates. Promote Social Responsibility. Social responsibility and fairness are paramount to Gen Z. Organizations must cultivate inclusive cultures where everyone’s contributions are recognized and valued. Engaging in corporate social responsibility (CSR) initiatives and providing volunteer opportunities can enhance employer attractiveness. Ensuring workplace policies reflect a commitment to fairness and social responsibility can resonate deeply with Gen Z values. Offer Hybrid Work. While Gen Z values flexibility, they also seek in-person interactions. Despite the rise of remote work, only 23% consider remote work options very important. Offering a hybrid work environment that balances remote flexibility with opportunities for in-person collaboration and community building is essential. Investing in modern office spaces that foster …

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Global Edge Data Center Market Predicted to Cross $300B By 2026

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Business Intelligence and Analytics Fusion Introduces New AI-Powered Scenario Simulation and Intelligence Suite Fusion Risk Management (Fusion), a provider of cloud-based operational resilience, business continuity, and risk management solutions, is releasing its new Scenario Simulation and Intelligence suite—enabling companies to simulate thousands of possible scenarios against their resilience plans and strategies to identify points of weakness at scale. Posted August 14, 2024 Ridge Security Enhances Proactive Exposure Management with RidgeBot 4.3.3 Ridge Security Technology Inc. is releasing RidgeBot version 4.3.3, introducing a powerful integration that enhances proactive exposure management for organizations—combining RidgeBot’s automated vulnerability detection and validation capabilities with leading vulnerability management (VM) solutions. Posted August 14, 2024 Power BI – Data Visualization Microsoft Power Platform DBTA Readers’ Choice Award Winners (2024) With the recent AI boom, data is being created and generated at unprecedented rates. Per the latest estimates, 402.74 million terabytes of data are created each day. This increase calls for a paradigm shift in company efficiency—quickly enabling enterprises to uncover quality insights and effective organization of this data. To help organizations progress along their data-driven journeys, each year, DBTA presents the Readers’ Choice Awards, which provide the opportunity to recognize companies whose products have been selected by the experts—our readers! Posted August 13, 2024 Rubrik and Mandiant Collaborate to Drive Robust Threat Recovery and Response Rubrik, Inc., the Zero Trust Data Security Company, is unveiling a new partnership with Mandiant, a cyber defense provider which is now part of Google Cloud. This collaboration—which is shaped by three key pillars—serves to help enterprises quickly control their risk against diverse, rampant threats. Posted August 13, 2024 Power BI – Data Visualization Microsoft Power Platform Cribl Partners with 4 Key Players in the Security Space Cribl, the data engine for IT and security, announced four key partnerships with Vijilan, Anvilogic, Securonix, and Anomali, to address growing enterprise IT and security data management challenges. Cribl Stream and Edge products are now integrated with Anvilogic’s innovative security information and event management (SIEM) platform, providing security operations centers (SOC) with best-in-class flexibility, cost efficiency, and control over their security data, according to the vendors. Posted August 12, 2024 Global Edge Data Center Market Predicted to Cross $300B By 2026 Analysis by global real estate consulting firm JLL predicts edge IT infrastructure and data centers will become a $317 billion market globally by 2026, representing a 107% growth from the 2020 market valued at $153 billion. Globally, the growth of edge computing will be influenced by not only the emergence of several technology-based megatrends but also the need for faster data transfer and high computation, as well as factors such as policies and regulations. Posted August 12, 2024 Combine Microsoft and Power BI Microsoft Power BI IBM Provides Generative AI-Powered Cybersecurity Assistant IBM is adding generative AI capabilities to its managed Threat Detection and Response Services utilized by IBM Consulting analysts to advance and streamline security operations for clients. Built on IBM’s watsonx data and AI platform, the new IBM Consulting Cybersecurity Assistant is designed to accelerate and improve the identification, investigation, and response to critical security threats, according to the company. Posted August 12, 2024 Upgrading the DBMS: Poking a House of Cards Regular readers of this column are aware that I am a proponent of getting rid of bad database standards. But sometimes it can be difficult to determine if a particular standard is bad, or just a lot of trouble to comply with! Well, what am I getting at here? Have you ever been thwarted by a global fiat from management? Of course you have, we all have. But I’m talking about a particular type of dictum from above. Something like this: “New software installations, including updated versions and releases, must be supported by current tooling before they can be installed.” Posted August 12, 2024 Advanced Info Service Selects Oracle Alloy to Build Thailand’s Locally Owned and Operated Hyperscale Cloud Advanced Info Service (AIS), one of Thailand’s largest mobile network operators, announced plans to deploy Oracle Alloy and launch AIS Cloud, the country’s first locally owned and operated hyperscale cloud. Oracle Alloy will provide AIS’ customers and all enterprises in Thailand, including the public sector, access to more than 100 Oracle Cloud Infrastructure (OCI) services, including the latest artificial intelligence (AI) capabilities. Posted August 12, 2024 Supply Wisdom and Fusion Collaborate to Enhance Third-Party Risk Management Effectiveness Supply Wisdom, the market’s full-stack, real-time risk intelligence SaaS platform powered by artificial intelligence (AI), is partnering with Fusion Risk Management (Fusion), a leading provider of cloud-based operational resilience, business continuity, and risk management solutions—offering Fusion customers a seamless integration for enhanced third-party risk management (TPRM) and operational risk and resilience program needs. Posted August 09, 2024 Cloudera Boosts Metadata Management with New Solution Capabilities Cloudera, a hybrid platform for data, analytics and AI, is introducing two key enhancements to its metadata management solutions, boosting open interoperability within the open data lakehouse and addressing increasing demands for security and governance across the entire data lifecycle. Posted August 08, 2024 Navigating The Good and Bad Of AI Despite the overwhelming promise of AI, its rapid proliferation has been accompanied by some unwanted side effects, including a dramatic uptick in cyberattacks— particularly social engineering attacks like phishing, which have grown 1,265% since late 2022. As a result, organizations across industries are faced with an ever-evolving challenge: balancing the positive use cases associated with AI, such as automated monitoring and streamlined workflows, with its very real risks. Posted August 08, 2024 Fuzzy Wuzzy Was a Bear, Or Was He/She a Diagram? Everyone likes a diagram. Diagrams often help make an issue clear—except when they don’t. There are plenty of diagrams that really do not convey information to the viewer, and that is a sad state for any diagram to find itself in. Maybe, just maybe, not everyone has the proper temperament to create a useful diagram? Before composing a diagram, the diagram-builder needs to be clear about what viewers of the created diagram should gain from viewing …

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