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.
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.
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.
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
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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
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Transforming Your Organization with the Power of Business Intelligence
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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.
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 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.
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
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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 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]
AI’s Increasing Power Needs
The explosive growth of artificial intelligence (AI) has prompted the datacenter giants—including Google, Meta, Amazon, and Microsoft (whose datacenters run most AI software)—to start building super-sized hyperscale datacenters that require much more power—gigawatts instead of megawatts. These giant datacenters use existing semiconductor technology that challenges aging U.S. electrical grid infrastructure to meet their energy consumption needs, according to analysts.
For instance, Goldman Sachs estimates that just a single query to ChatGPT (generative pre-trained transformer chatbot) uses 10 times as much datacenter electrical energy than traditional AI functions like speech recognition, thus the rationale for more powerful hyperscale datacenters.
Today, traditional AI runs behind the scenes. For instance, natural language recognition (as when you speak to your computer) is an AI function that requires millions (for individual words) to billions (for complete sentences) of connections between virtual neurons and synapses in a “learning” neural network. Today these spoken-word learning functions are run in the background, during datacenter lulls. After learning to recognize every word in the dictionary, the neural network can be compressed into a much smaller, faster, runtime “inference engine” for real-time responses to users.
The new AI functions—called generative AI (GenAI)—use much larger learning neural networks with trillions of connections to accommodate not just the spoken words in the dictionary, like today’s speech recognition AIs, but which learn entire libraries of books (called large language models—LLMs) or vast sets of visual scenes (called vision transformers—ViTs). However, at runtime, transformers cannot be compressed into the same small, fast inference engines as happens in word recognition. The reason is that they don’t return simple words in response to your input, but instead compare your queries with trillions of examples in their gigantic neural networks and transform them—word by word—into responses that range in size from complete paragraphs to a whole white paper, or even to an entire book on the subject of your query.
By the end of the decade, even more computational power will be needed when GenAI applications progress to routinely returning entire works of art or, say, video documentaries from queries to ViTs, like “painting landscapes in the style of Vincent van Gogh,” according to Jim McGregor, founder and a principal analyst at Tirias Research.
“Once we get to mass adoption of visual-content creation with GenAI, the demand is going to be huge—we’ll need to increase datacenter performance/power exponentially,” said McGregor.
To support datacenters powerful enough to handle existing chat-caliber GenAI, Tirias’ latest report predicts U.S. datacenter energy consumption will increase from over 1.4 tera-Watt-hours (TWh) today to 67 TWh by 2028. Goldman Sachs estimates that when you add traditional AI to GenAI, about twice that amount of growth is expected in the same time period, resulting in AI consuming about 19% of overall datacenter energy power, or about 4% of total grid energy generation for all the U.S.
The way this strong growth in energy consumption from the grid will be met, according to Goldman Sachs report AI, Data Centers and the Coming US Power Demand Surge, is by transforming power generation for the grid from coal-fired electrical energy generation to “60% [natural] gas and 40% renewable sources [mainly solar and wind].” In addition, Bloomberg points out that the move to gas and renewable sources will include delaying the retirement of some coal-fired electricity generation plants nearest the newest hyperscale datacenters.
There is also a trend to prevent overloading of the grid with nuclear electrical energy generators dedicated to individual hyperscale datacenters, called small modular reactors (SMRs), said Rian Bahran, Assistant Director of the White House Office of Science and Technology Policy in his keynote at Data Center World 2024. Bahran said nuclear power should be added to the list of “clean” and “sustainable” energy sources to meet hyperscale datacenter energy consumption demands. In fact, Amazon has already purchased from Talen Energy, a nearly 1-gigaWatt-capable nuclear-powered datacenter campus in Salem, PA, powered by the adjacent 2.5-gigaWatt Susquehanna nuclear plant owned by Talen. Bahran also revealed that currently as many as two dozen SMRs are being constructed, each capable of generating bout 75 megawatts of electricity, on two datacenter campuses in Ohio and Pennsylvania.
At the same time, Microsoft is attempting to one-up fission reactors like SMRs by investing in nuclear-waste-free fusion reactors (partnering with Helion).
“No single silver bullet will solve this increasing need for more electrical energy sources, but it’s not as bad as some make it out to be, at least for the next generation beyond current technology datacenters,” said McGregor. “The way I see it, it’s like Moore’s Law [regarding the periodic doubling of transistor density]; we kept predicting its end, but every time we thought there was a roadblock, we found an innovation that got past it.”
Today’s hyperscale datacenters are using current semiconductor technologies and architectures, but innovation will stave off the unbridled increase in GenAI power consumption—in the long term—the same way innovation kept Moore’s Law moving forward, according to McGregor. That is, by finding new ways to increase performance while lowering power—with a new generation of hybrid stacks of CPUs, GPUs, and memory chips in the same package, with water-cooled server racks instead of air-cooled, with all-optical data connections—even chip-to-chip—instead of today’s mix of copper and fiber, and with larger water-cooled wafer-scale chips with trillions of transistors.
“The level of innovation in power reduction is phenomenal. This level of innovation rivals the start of the semiconductor industry and in many ways is even faster-growing. If technology stood still, then we would run out of available energy by the end of the decade,” according to McGregor. Yet according to Tirias’ GenAI predictions, the use of low-power hybrid CPU/GPU-based AI accelerators at datacenters will grow from 362,000 units today to 17.6 million in 2028.
“Take, for instance, Cerebras Systems AI chip that takes up an entire wafer with four trillion transistors,” said McGregor. The Cerebras next-generation water-cooled wafer-scale chip draws 50X less power for its four trillion transistors than today’s separate CPU-chip- and GPU-chip-based datacenter servers. The wafer-scale made-for-AI chip is currently being proven out in collaborations with researchers at Sandia National Laboratories, Lawrence Livermore National Lab, Los Alamos National Laboratory, and the National Nuclear Security Administration. It also will be integrated into future Dell servers for large-scale AI deployment.
Already available powering four of the top five positions on the 2024 Green 500 supercomputer list is the latest Nvidia hybrid CPU/GPU-based AI accelerator, which can replace multiple traditional servers for AI workloads, at a fraction of their current energy consumption. For instance, Nvidia user Pierre Spatz, head of quantitative research at Murex (Paris), reports in a blog that Nvidia’s latest AI accelerator, the Grace Hopper Superchip, is “not only the fastest processor [available today], but is also far more power-efficient—making green IT a reality.” According to Spatz, this Nvidia Grace Hopper Superchip boosts Murex’s financial-prediction software performance by 7X while simultaneously offering a 4X reduction in energy consumption.
Innovation Solving Crises
Nvidia is not the only hybrid CPU/GPU chip maker with faster AI execution at lower power. For instance, AMD won the 2022 top spot in the Green500 supercomputer ranking (and four of the top 10 slots in the Green500 2024 supercomputer ranking). AMD’s latest secret sauce for faster performance with lower energy consumption in its next-generation chips is hybrid stacking of multiple CPU, GPU, and I/O-to-optical fabric chips in the same package.
Cerebras has attached a water-cooled metal cold plate to the top of silicon chips to draw heat away more efficiently than by using cool air as in today’s datacenters.
Other chip makers also are accelerating their next-generation datacenter processors with power-saving hybrid multi-chip stacks. In addition, Intel, Samsung, and Taiwan Semiconductor Manufacturing Company (TSMC) are demonstrating 3D stacked transistors for their next-generation processors that substantially increase performance while saving power.
Semiconductor architects are also beginning to rethink the entire datacenter as a single system—like hybrid systems-on-a-chip—investing in sustainable, more energy-efficient architectures that, for instance, switch to water (instead of air) cooling for the racks in the entire datacenter. “The rear door heat exchanger, for instance, is based on water cooling that can reduce the energy consumption in the servers at high-density datacenters,” according to Laura DiDio, president and principal analyst of Information Technology Intelligence Consulting (ITIC).
Future datacenters also will make use of quick-switching strategies among multiple power sources, including solar, wind, natural gas, geothermal, grid, and nuclear reactors, said McGregor.
According to Jim Handy, general director of Objective Analysis, the popularity of AI has created an energy crisis, but not an unsolvable one.
“What is interesting to me in all these crises arguments, is that they happen over and over every time a new technology starts becoming widespread—the crisis predictors are just extrapolating from the current technologies, which doesn’t account for innovative solutions,” said Handy. “For instance, in the 1990s, the Internet began growing so fast that we had predictions that half the electrical energy of the world was going to be consumed by it. What happened? Innovation was able to keep up with demand. The same massive crisis argument happened again when bitcoin took off, but that too fizzled, and now we are hearing the same crisis arguments regarding the growth of AI.”
R. Colin Johnson is a Kyoto Prize Fellow who has worked as a technology journalist for two decades.
Transforming Your Organization with the Power of Business Intelligence
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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 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]
AI’s Increasing Power Needs
The explosive growth of artificial intelligence (AI) has prompted the datacenter giants—including Google, Meta, Amazon, and Microsoft (whose datacenters run most AI software)—to start building super-sized hyperscale datacenters that require much more power—gigawatts instead of megawatts. These giant datacenters use existing semiconductor technology that challenges aging U.S. electrical grid infrastructure to meet their energy consumption needs, according to analysts.
For instance, Goldman Sachs estimates that just a single query to ChatGPT (generative pre-trained transformer chatbot) uses 10 times as much datacenter electrical energy than traditional AI functions like speech recognition, thus the rationale for more powerful hyperscale datacenters.
Today, traditional AI runs behind the scenes. For instance, natural language recognition (as when you speak to your computer) is an AI function that requires millions (for individual words) to billions (for complete sentences) of connections between virtual neurons and synapses in a “learning” neural network. Today these spoken-word learning functions are run in the background, during datacenter lulls. After learning to recognize every word in the dictionary, the neural network can be compressed into a much smaller, faster, runtime “inference engine” for real-time responses to users.
The new AI functions—called generative AI (GenAI)—use much larger learning neural networks with trillions of connections to accommodate not just the spoken words in the dictionary, like today’s speech recognition AIs, but which learn entire libraries of books (called large language models—LLMs) or vast sets of visual scenes (called vision transformers—ViTs). However, at runtime, transformers cannot be compressed into the same small, fast inference engines as happens in word recognition. The reason is that they don’t return simple words in response to your input, but instead compare your queries with trillions of examples in their gigantic neural networks and transform them—word by word—into responses that range in size from complete paragraphs to a whole white paper, or even to an entire book on the subject of your query.
By the end of the decade, even more computational power will be needed when GenAI applications progress to routinely returning entire works of art or, say, video documentaries from queries to ViTs, like “painting landscapes in the style of Vincent van Gogh,” according to Jim McGregor, founder and a principal analyst at Tirias Research.
“Once we get to mass adoption of visual-content creation with GenAI, the demand is going to be huge—we’ll need to increase datacenter performance/power exponentially,” said McGregor.
To support datacenters powerful enough to handle existing chat-caliber GenAI, Tirias’ latest report predicts U.S. datacenter energy consumption will increase from over 1.4 tera-Watt-hours (TWh) today to 67 TWh by 2028. Goldman Sachs estimates that when you add traditional AI to GenAI, about twice that amount of growth is expected in the same time period, resulting in AI consuming about 19% of overall datacenter energy power, or about 4% of total grid energy generation for all the U.S.
The way this strong growth in energy consumption from the grid will be met, according to Goldman Sachs report AI, Data Centers and the Coming US Power Demand Surge, is by transforming power generation for the grid from coal-fired electrical energy generation to “60% [natural] gas and 40% renewable sources [mainly solar and wind].” In addition, Bloomberg points out that the move to gas and renewable sources will include delaying the retirement of some coal-fired electricity generation plants nearest the newest hyperscale datacenters.
There is also a trend to prevent overloading of the grid with nuclear electrical energy generators dedicated to individual hyperscale datacenters, called small modular reactors (SMRs), said Rian Bahran, Assistant Director of the White House Office of Science and Technology Policy in his keynote at Data Center World 2024. Bahran said nuclear power should be added to the list of “clean” and “sustainable” energy sources to meet hyperscale datacenter energy consumption demands. In fact, Amazon has already purchased from Talen Energy, a nearly 1-gigaWatt-capable nuclear-powered datacenter campus in Salem, PA, powered by the adjacent 2.5-gigaWatt Susquehanna nuclear plant owned by Talen. Bahran also revealed that currently as many as two dozen SMRs are being constructed, each capable of generating bout 75 megawatts of electricity, on two datacenter campuses in Ohio and Pennsylvania.
At the same time, Microsoft is attempting to one-up fission reactors like SMRs by investing in nuclear-waste-free fusion reactors (partnering with Helion).
“No single silver bullet will solve this increasing need for more electrical energy sources, but it’s not as bad as some make it out to be, at least for the next generation beyond current technology datacenters,” said McGregor. “The way I see it, it’s like Moore’s Law [regarding the periodic doubling of transistor density]; we kept predicting its end, but every time we thought there was a roadblock, we found an innovation that got past it.”
Today’s hyperscale datacenters are using current semiconductor technologies and architectures, but innovation will stave off the unbridled increase in GenAI power consumption—in the long term—the same way innovation kept Moore’s Law moving forward, according to McGregor. That is, by finding new ways to increase performance while lowering power—with a new generation of hybrid stacks of CPUs, GPUs, and memory chips in the same package, with water-cooled server racks instead of air-cooled, with all-optical data connections—even chip-to-chip—instead of today’s mix of copper and fiber, and with larger water-cooled wafer-scale chips with trillions of transistors.
“The level of innovation in power reduction is phenomenal. This level of innovation rivals the start of the semiconductor industry and in many ways is even faster-growing. If technology stood still, then we would run out of available energy by the end of the decade,” according to McGregor. Yet according to Tirias’ GenAI predictions, the use of low-power hybrid CPU/GPU-based AI accelerators at datacenters will grow from 362,000 units today to 17.6 million in 2028.
“Take, for instance, Cerebras Systems AI chip that takes up an entire wafer with four trillion transistors,” said McGregor. The Cerebras next-generation water-cooled wafer-scale chip draws 50X less power for its four trillion transistors than today’s separate CPU-chip- and GPU-chip-based datacenter servers. The wafer-scale made-for-AI chip is currently being proven out in collaborations with researchers at Sandia National Laboratories, Lawrence Livermore National Lab, Los Alamos National Laboratory, and the National Nuclear Security Administration. It also will be integrated into future Dell servers for large-scale AI deployment.
Already available powering four of the top five positions on the 2024 Green 500 supercomputer list is the latest Nvidia hybrid CPU/GPU-based AI accelerator, which can replace multiple traditional servers for AI workloads, at a fraction of their current energy consumption. For instance, Nvidia user Pierre Spatz, head of quantitative research at Murex (Paris), reports in a blog that Nvidia’s latest AI accelerator, the Grace Hopper Superchip, is “not only the fastest processor [available today], but is also far more power-efficient—making green IT a reality.” According to Spatz, this Nvidia Grace Hopper Superchip boosts Murex’s financial-prediction software performance by 7X while simultaneously offering a 4X reduction in energy consumption.
Innovation Solving Crises
Nvidia is not the only hybrid CPU/GPU chip maker with faster AI execution at lower power. For instance, AMD won the 2022 top spot in the Green500 supercomputer ranking (and four of the top 10 slots in the Green500 2024 supercomputer ranking). AMD’s latest secret sauce for faster performance with lower energy consumption in its next-generation chips is hybrid stacking of multiple CPU, GPU, and I/O-to-optical fabric chips in the same package.
Cerebras has attached a water-cooled metal cold plate to the top of silicon chips to draw heat away more efficiently than by using cool air as in today’s datacenters.
Other chip makers also are accelerating their next-generation datacenter processors with power-saving hybrid multi-chip stacks. In addition, Intel, Samsung, and Taiwan Semiconductor Manufacturing Company (TSMC) are demonstrating 3D stacked transistors for their next-generation processors that substantially increase performance while saving power.
Semiconductor architects are also beginning to rethink the entire datacenter as a single system—like hybrid systems-on-a-chip—investing in sustainable, more energy-efficient architectures that, for instance, switch to water (instead of air) cooling for the racks in the entire datacenter. “The rear door heat exchanger, for instance, is based on water cooling that can reduce the energy consumption in the servers at high-density datacenters,” according to Laura DiDio, president and principal analyst of Information Technology Intelligence Consulting (ITIC).
Future datacenters also will make use of quick-switching strategies among multiple power sources, including solar, wind, natural gas, geothermal, grid, and nuclear reactors, said McGregor.
According to Jim Handy, general director of Objective Analysis, the popularity of AI has created an energy crisis, but not an unsolvable one.
“What is interesting to me in all these crises arguments, is that they happen over and over every time a new technology starts becoming widespread—the crisis predictors are just extrapolating from the current technologies, which doesn’t account for innovative solutions,” said Handy. “For instance, in the 1990s, the Internet began growing so fast that we had predictions that half the electrical energy of the world was going to be consumed by it. What happened? Innovation was able to keep up with demand. The same massive crisis argument happened again when bitcoin took off, but that too fizzled, and now we are hearing the same crisis arguments regarding the growth of AI.”
R. Colin Johnson is a Kyoto Prize Fellow who has worked as a technology journalist for two decades.
Will artificial intelligence replace your financial advisor? Photo source: Wealth of Geeks
By Liam Gibson | Wealth of Geeks
A recent Deloitte report predicts 78% of retail investors will use generative AI applications as an investment advice source by 2027.
Don’t be surprised if conversations with your financial advisor soon feel relatively automated — you might be chatting with a bot.
The financial advisory industry is poised for dramatic Artificial Intelligence (AI) disruption. If this comes to pass, AI will become the leading source of retail investment advice, outstripping friends and family, social media, and even your local financial advisor.
Deloitte foresees retail investors leveraging broad-based generative AI applications tailored for investment advice to help make decisions. However, this is broader than that of AI-native companies. Many legacy financial institutions will also offer AI-powered financial advice engines as clients gain comfort with investment tools that utilize artificial intelligence.
Industry insiders have mixed opinions on the degree of AI disruption investors should expect to see in the near term.
Automatic Advice
An AI takeover of personal finance seems a far cry from the present. From the combustion engine to the internet, the lag between invention and society-wide adoption of new technologies is often longer than initial forecasts suggest.
Yet, unlike previous breakthroughs, consumer AI tools require no new hardware. With a few clicks and ubiquitous internet access, users can conduct quick web searches to locate AI resources. Generative AI applications are within reach of anyone with a Wi-Fi connection, making it the first time a massive technological revolution has been available so quickly.
The speed of AI adoption sets this technological advancement apart from those before it.
“Deloitte’s prediction for 2028 might seem bold, but the rapid advancements in AI technology and increasing consumer comfort with digital tools make this plausible,” says Jorey Bernstein, founder of Bernstein Investment Consultants. “There are already several AI financial planning apps like Betterment and Wealthfront that offer automated investment advice.”
Online investing tools and consumer wealth-tracking applications democratize financial planning by bringing down barriers blocking resources reserved for professional traders and advisors.
These advisor platforms are intuitive to use — no Zoom meeting required. After signing up, consumers set financial goals and complete a risk assessment. The AI-driven platforms utilize responses to create and manage diversified portfolios. They also handle tasks like portfolio rebalancing and tax-loss harvesting, offering a hands-off investment experience with minimal fees and personalized advice.
With readily available tools like these, paying a financial advisor to allocate a portfolio makes less sense.
“Investment management is becoming a commodity,” says Angela Dorsey, Founder and Financial Planner of Dorsey Wealth Management. “Advisors who only provide investment management are vulnerable to being replaced by AI.”
The Human Touch
Fortunately, many financial advisors likely have little to worry about when it comes to AI, as most offer services beyond investment management. Humans can delicately manage sensitive issues like estate and tax planning, offer broad life planning advice, and empower clients to achieve goals while assisting them during divorces or retirement.
Advisors believe this human touch has a competitive advantage.
“The value of a financial planner goes beyond investment management and is a dynamic, iterative, and ongoing process,” says Brett Koeppel, CFP and Founder of Eudaimonia Wealth. “Until artificial intelligence can empathize and connect on a human level, its value will remain limited to the technical aspects of financial advice.”
“Human advisors can maintain relevance by offering personalized, empathetic guidance that AI cannot replicate and by integrating AI tools into their services to enhance their value proposition,” says Bernstein. “We should also stay abreast of other disruptions like blockchain and fintech innovations, which could further transform the industry.”
Human advisors must also act as bots’ stewards as they delve deeper into business practices. Effectively delineating tasks and responsibilities is critical.
There may be chief concerns surrounding regulatory compliance and the complex liability issue. When technology-driven decisions fail, who is accountable when an automated system makes an error – the adviser, the technology provider, or the wealth management firm?
As AI rapidly integrates into the financial advisory industry, it promises to revolutionize investment management by making sophisticated tools accessible to all investors. However, not all advisors are worried. They see the human touch as indispensable to their craft. Advisors who effectively offer empathy, nuanced guidance, and support through complex life events will retain an advantage in this new age of generative AI content.
Yet advisors must also embrace AI tech’s power to automate monotonous admin tasks and achieve the analytical edge for forecasting and accounting. Tomorrow’s advisors will effectively leverage AI for technical aspects of the job for more time and energy to focus on delivering interpersonal coaching that only a human can.
This article was produced by Media Decision and syndicated by Wealth of Geeks.
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Artificial Intelligence Tech 2024 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…
Microsoft’s cloud business powers 10% growth in… 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…
Power BI vs Tableau: Which is The Better BI Tool 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…
SEALSQ Unveils Revolutionary Artificial Intelligence… 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…
Finance’s biggest firms are considering how AI might… 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…
Embed a Power BI Report Server report using an iFrame in 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…
What is the difference between reporting and… 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…
Snowflake launches Cortex Analyst, an agentic AI… 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…
AI is approaching an open-source inflection point… AI is approaching an open-source inflection point $75 per month Complete digital access to quality FT journalism with expert analysis from industry leaders. Pay a year upfront and save 20%. Global news & analysisExpert opinionFT App on Android & iOSFT Edit appFirstFT: the day’s biggest stories20+ curated newslettersFollow topics & set alerts with myFTFT Videos & Podcasts20 monthly gift articles to shareLex: FT’s flagship investment column15+ Premium newsletters by leading expertsFT Digital Edition: our digitised print edition Small language models and open source are transforming AI Free and Open Source Business Intelligence Tools Logz SLMs also sharpen customization. These models…
Healthcare Business Intelligence Market Size to… Healthcare Business Intelligence Market Size to Reach USD 27.63 Billion By 2032, With a Growing CAGR of 14% | Research by SNS Insider SNS Insider pvt ltd The rise in electronic health records (EHRs) and the integration of big data analytics in healthcare have further propelled the adoption of BI solutions. Pune, Aug. 14, 2024 (GLOBE NEWSWIRE) — Healthcare Business Intelligence Market Size & Share: Mastering Business Intelligence: Comprehensive Guide to Concepts “According to SNS Insider Research, The Healthcare Business Intelligence (BI) Market Size was valued at US$ 9.0 Billion in 2023 and is expected to reach US$ 27.63 Billion…
RBC Capital Keeps Their Buy Rating on Jasper… 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…
54 Predictions About The State Of Data In 2021 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…
The Four Pillars of Business Intelligence 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…
Common Mistakes to Avoid When Hiring a Power BI Developer 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…
Dashboards, Business Intelligence and Reporting… 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…
Common Mistakes to Avoid When Hiring a Power BI Developer 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…
Meta scraps celebrity AI chatbots after less than a year 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…
Microsoft Power BI – What Is It and What to Use It… 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…
How Business Intelligence in ERP Can Improve Your Company Go 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…
Pentaho Adaptive Big Data LayerPentaho Business Analytics 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…
AI For Business Intelligence 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…
Artificial Intelligence Stocks: The 10 Best AI Companies 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…
Business Intelligence in ERP (The Role of BI Tools in ERP) 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…
op Business Intelligence and Analytics Tools Organizations ‘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…
22nd Century Technologies Buys TreasurySoft 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…
Ethical Considerations in BI 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…
Talent Intelligence: Unlocking The Power Of… 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…
The Future of Business Intelligence 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…
Understanding Business Intelligence 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…