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
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 instance, AI algorithms and predictive maintenance implemented through AIoT enable IoT devices to dynamically determine actions, self-program based on analytics and customer-defined knowledge, and reduce operating and maintenance costs for providers. AI can also predict machine failures, enabling proactive maintenance actions, thereby reducing downtime and extending the lifespan of critical equipment.
Generative AI technology, another essential element of SEALSQ’s strategy, further enhances the ecosystem’s learning capabilities, allowing autonomous IoT devices to operate with unprecedented precision. Whether navigating complex environments like self-driving cars or personalizing user experiences in smart homes, Generative AI optimizes functionality and adaptability. The market for AI in cybersecurity is intricately linked with IoT, encompassing applications such as fraud detection and network security. By integrating AI, these systems are able to recognize potential threats more effectively, enhancing overall security and resilience.
Looking toward the future, the growth of IoT is undeniable. According to the IoT Analytics “State of IoT—Spring 2023” report, “The number of global IoT connections grew by 18% in 2022 to 14.3 billion active IoT endpoints.” This trend is expected to continue, with forecasts predicting around 29 billion IoT connections by 2027. The combination of AI and IoT offers a powerful synergy—while IoT enables devices to communicate over the internet, AI empowers these devices to learn from their data and experiences. Many businesses have already begun incorporating AI and IoT into their processes and products, recognizing the transformative potential of this dynamic duo.
About SEALSQ
SEALSQ focuses on selling integrated solutions based on Semiconductors, PKI and Provisioning services, while developing Post-Quantum technology hardware and software products. Our solutions can be used in a variety of applications, from Multi-Factor Authentication tokens, Smart Energy, Smart Home Appliances, Medical and Healthcare and IT Network Infrastructure, to Automotive, Industrial Automation and Control Systems.
Post-Quantum Cryptography (PQC) refers to cryptographic methods that are secure against an attack by a quantum computer. As quantum computers become more powerful, they may be able to break many of the cryptographic methods that are currently used to protect sensitive information, such as RSA and Elliptic Curve Cryptography (ECC). PQC aims to develop new cryptographic methods that are secure against quantum attacks. For more information, please visit www.sealsq.com.
Forward-Looking StatementsThis communication expressly or implicitly contains certain forward-looking statements concerning SEALSQ Corp and its businesses. Forward-looking statements include statements regarding our business strategy, financial performance, results of operations, market data, events or developments that we expect or anticipates will occur in the future, as well as any other statements which are not historical facts. Although we believe that the expectations reflected in such forward-looking statements are reasonable, no assurance can be given that such expectations will prove to have been correct. These statements involve known and unknown risks and are based upon a number of assumptions and estimates which are inherently subject to significant uncertainties and contingencies, many of which are beyond our control. Actual results may differ materially from those expressed or implied by such forward-looking statements. Important factors that, in our view, could cause actual results to differ materially from those discussed in the forward-looking statements include the expected success of our technology strategy and solutions for IoMT Security for Medical and Healthcare sectors, SEALSQ’s ability to implement its growth strategies, SEALSQ’s ability to continue beneficial transactions with material parties, including a limited number of significant customers; market demand and semiconductor industry conditions; and the risks discussed in SEALSQ’s filings with the SEC. Risks and uncertainties are further described in reports filed by SEALSQ with the SEC.
SEALSQ Corp is providing this communication as of this date and does not undertake to update any forward-looking statements contained herein as a result of new information, future events or otherwise.
Press and Investor Contacts
SEALSQ Corp.Carlos MoreiraChairman & CEOTel: +41 22 594 3000info@sealsq.comSEALSQ Investor Relations (US)The Equity Group Inc.Lena CatiTel: +1 212 836-9611 / lcati@equityny.com
Katie MurphyTel: +212 836-9612 / kmurphy@equityny.com
Business Intelligence Market worth USD 56,200.9 million by 2033 – Exclusive Report by Future Market Insights, Inc.
The global business intelligence market size is predicted to surpass a valuation of US$ 28,216.8 million in 2023. It is anticipated to hit a valuation of US$ 56,200.9 million by 2033. The market is projected to thrive at a CAGR of 7.1% from 2023 to 2033.
The capabilities of business intelligence systems have been considerably improved by ongoing technological breakthroughs. Such as in cloud computing, big data analytics, artificial intelligence, and machine learning. Scalability, flexibility, and affordability are all features of cloud-based BI solutions that enable BI to be used by businesses of various sizes.
More advanced data analysis and predictive modeling are possible by AI-powered analytics tools and machine learning algorithms, enabling firms to find important patterns and insights.
Organizations are aware that successfully utilizing data may provide them with a competitive advantage. Businesses may acquire a greater knowledge of their customers, markets, and operations by utilizing business intelligence tools to find hidden patterns, trends, and correlations in their data. These insights may be utilized to improve consumer experiences, find new market possibilities, optimize corporate strategy, and spur innovation.
Self-service analytics are now supported by business intelligence platforms, enabling users to access and evaluate data without relying heavily on IT or data analysts. Self-service BI technologies allow non-technical people to independently examine data, produce reports, and develop insights due to their easy user interfaces, drag-and-drop capabilities, and visualizations. Within enterprises, this movement has democratized data analytics and increased the user base of business intelligence.
The business intelligence system’s more up-to-date sophisticated analytics and improved statistical support are also contributing to the market’s expansion. Business intelligence technologies and machine learning aid corporate settings in problem-solving strategies and forecasting potential outcomes.
Additionally, this aids in streamlining internal corporate operations, boosting revenue development, and connecting technology. To improve processing, giving businesses an advantage over rival brands, thereby surging Business Intelligence market growth consistently.
Key Takeaways:
The global business intelligence market size expanded at a CAGR of 5.0% from 2018 to 2022. In 2018, the global market size stood at US$ 21,962.1 million. The market size stood at US$ 26,745.8 million in 2022. In 2022, the solution segment captured 68.9% of market shares. The sales and marketing segment captured 42.3% shares in the global market. In 2022, the United States captured 19.4% shares in the global market. China held 8.3% shares in the global business intelligence industry in 2022. In 2022, the United Kingdom captured 6.7% shares in the global market.
Key Players:
IBM Oracle Microsoft SAP Google
Recent Developments Observed:
Ramp announced its ambitions to provide new artificial intelligence technologies in May 2023. The business plans to introduce the new tools with a function that might ascertain whether a firm has overpaid for its software contracts. SoftLedger debuted a business intelligence dashboard with real-time data in December 2022. The purpose of this publication is to assist Chief Financial Officers (CFOs) in making tactical decisions for their company.
Market Segmentation:
By Component:
Solution Dashboards and Scorecards Data Integration and ETL Reporting and Visualization Query and Analysis Service Consulting Services Deployment and Integration Services Support and Maintenance Services
By Organization Size:
By Business Function:
Human Resources Finance Operations Sales and Marketing
By Vertical:
Retail Manufacturing Government and Public Services Media Entertainment Transportation and Logistics BFSI Telecom and IT Healthcare and Hospitality
By Deployment:
By Region:
North America Latin America Europe East Asia South Asia Oceania The Middle East & Africa (MEA)
Elevate Your Business Strategy! Purchase the Report for Market-Driven Insights
About Future Market Insights (FMI)
Future Market Insights, Inc. (ESOMAR certified, recipient of the Stevie Award, and a member of the Greater New York Chamber of Commerce) offers profound insights into the driving factors that are boosting demand in the market. FMI stands as the leading global provider of market intelligence, advisory services, consulting, and events for the Packaging, Food and Beverage, Consumer Technology, Healthcare, Industrial, and Chemicals markets. With a vast team of over 400 analysts worldwide, FMI provides global, regional, and local expertise on diverse domains and industry trends across more than 110 countries. Join us as we commemorate 10 years of delivering trusted market insights. Reflecting on a decade of achievements, we continue to lead with integrity, innovation, and expertise.
Contact Us:
Future Market Insights Inc.Christiana Corporate, 200 Continental Drive,Suite 401, Newark, Delaware – 19713, USAT: +1-845-579-5705For Sales Enquiries: sales@futuremarketinsights.comWebsite: https://www.futuremarketinsights.comLinkedIn| Twitter| Blogs | YouTube
Intuitive Intelligence And 8 Common Blocks That Impact It
Hulan Hagen is the founder and CEO of the Business Intuition Institute, an international executive coach, and strategy consultant.
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What is intuitive intelligence, and how can it help you solve today’s business challenges? According to experts, there are several problems of emerging importance in the business world. A few key issues are hiring for mindset, staying focused, adapting to consumer preferences, navigating change and integrating artificial intelligence. All of these demand foresight and creativity, which are elements of intuitive intelligence.
How can business leaders develop the intuitive intelligence necessary to flourish in the face of relentless technological, economic and social change? They must better comprehend this skill set and recognize common barriers that can negatively impact it.
Understanding Intuitive Intelligence
Intuitive intelligence is the ability to make decisions based on insights that aren’t obvious through logical reasoning. It synthesizes experience, instinct and subconscious information. In their 1958 book Organizations, James March and Herbert Simon showed how decision-making models that depend on complete knowledge of parameters, like return on investment and probabilities of outcomes, are unrealistic. Rationality is bounded or limited, and economists who claim that firms optimize profit assume too much. Bounded rationality necessitates satisficing, or just-good-enough, solutions.
But from the standpoint of intuitive intelligence, optimizing profit may amount to very little. Breakthrough innovation—the leap from zero to one, as entrepreneur Peter Thiel puts it—creates returns that blow past improvements possible through optimization. In Thiel’s terminology, optimizing can take a firm from one to n, with n being the optimal iteration of a product or service. But the blowoff profits are made from monopolizing innovations, or taking them from “zero to one” by creating something new.
The recognition that rationality is bounded can expand, rather than limit, outcomes because innovations that result from intuitive intelligence in the face of ambiguity can create new industries and monopoly profits. The best business decision-makers develop their intuitive intelligence to broaden their perceptual scope, jettisoning biases like stereotyping, thinking in one language and selective perception.
Masters Of Intuitive Intelligence
Beyond Peter Thiel, there are many leaders and entrepreneurs who saw opportunities for innovation and ran with them. For example, Richard Branson’s decision to start Virgin Atlantic—despite having no experience in the airline industry—was driven by the belief that he could offer better service than existing airlines.
Spanx’s founder Sara Blakely was getting ready for a party when she decided to cut the feet off some pantyhose and wear them under a pair of white pants to ensure her outfit had clean lines. Her intuitive thinking and firm understanding of her target market’s needs were key to her company’s success.
Howard Schultz, the former CEO of Starbucks, relied on his intuition to transform a dry-coffee store into a global coffeehouse chain by recreating the Italian coffeehouse experience in the United States. Starbucks, which was named after a character from Melville’s Moby Dick, was able to grow because Schultz intuited that customers would value a place to relax and socialize over a cup of coffee.
8 Common Blocks To Intuitive Intelligence
At the Business Intuition Institute, we’ve identified eight blocks to intuitive intelligence.
1. Lack Of Self-Awareness: Understanding your own thought processes and emotional responses is crucial. Intuitive intelligence requires reflection and pattern recognition.
2. Lack Of Experience And Knowledge: The more varied your experiences, the richer your pool of subconscious knowledge. By engaging in activities outside your usual scope, you can broaden your perspective and enhance your intuitive abilities.
3. Bias Against Intuition: Many professionals believe that only left-brained thinking, which is associated with logic, can result in profitable solutions. However, some of the greatest, revenue-generating innovations can come from right-brained, or creative and qualitative, thinking.
4. Thinking In One Language: A major barrier to intuitive intelligence is being locked into the process of deductive reasoning. Many of us think only in words or numbers. But intuitive insights arrive when we tap into the flow of our subconscious.
5. Selective Perception: Because of habits or unconscious blockages, we often instinctively restrict the kind of information we receive. To build up our intuition, we must overcome things like perceptual distortion and biases, artificial constraints or thinking inside the box.
6. Failing To See The Forest For The Trees: It’s common for decision-makers to get lost in detail and suffer from analysis paralysis. Being so caught up in the granular can keep people from big-picture, intuitive insights.
7. Conformity To Organizational Norms: When organizations have cultures that are overly uniform, they tend to block creativity and intuition.
8. Gresham’s Law: When ways of operating and thinking become the default process, the possibility of breakthrough intuitive thinking is hindered. Sir Thomas Greshman said that “bad money drives out good,” meaning that overuse of poor currency (or thinking, in this case) keeps people from making better currency. This phenomenon causes us to rely on second-rate forms of problem-solving because they’re familiar, which drives away creative, breakthrough solutions.
Business leaders who can overcome these barriers to intuitive intelligence will help open the doors for breakthrough innovation.
Conclusion
To harness the power of intuitive intelligence, we need to tap into our inner wisdom. Used alongside analytical thinking, this skill can help us generate innovative, original solutions that transform our businesses and create a bold future.
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Business Intelligence Market worth USD 56,200.9 million by 2033 – Exclusive Report by Future Market Insights, Inc.
The global business intelligence market size is predicted to surpass a valuation of US$ 28,216.8 million in 2023. It is anticipated to hit a valuation of US$ 56,200.9 million by 2033. The market is projected to thrive at a CAGR of 7.1% from 2023 to 2033.
The capabilities of business intelligence systems have been considerably improved by ongoing technological breakthroughs. Such as in cloud computing, big data analytics, artificial intelligence, and machine learning. Scalability, flexibility, and affordability are all features of cloud-based BI solutions that enable BI to be used by businesses of various sizes.
More advanced data analysis and predictive modeling are possible by AI-powered analytics tools and machine learning algorithms, enabling firms to find important patterns and insights.
Organizations are aware that successfully utilizing data may provide them with a competitive advantage. Businesses may acquire a greater knowledge of their customers, markets, and operations by utilizing business intelligence tools to find hidden patterns, trends, and correlations in their data. These insights may be utilized to improve consumer experiences, find new market possibilities, optimize corporate strategy, and spur innovation.
Self-service analytics are now supported by business intelligence platforms, enabling users to access and evaluate data without relying heavily on IT or data analysts. Self-service BI technologies allow non-technical people to independently examine data, produce reports, and develop insights due to their easy user interfaces, drag-and-drop capabilities, and visualizations. Within enterprises, this movement has democratized data analytics and increased the user base of business intelligence.
The business intelligence system’s more up-to-date sophisticated analytics and improved statistical support are also contributing to the market’s expansion. Business intelligence technologies and machine learning aid corporate settings in problem-solving strategies and forecasting potential outcomes.
Additionally, this aids in streamlining internal corporate operations, boosting revenue development, and connecting technology. To improve processing, giving businesses an advantage over rival brands, thereby surging Business Intelligence market growth consistently.
Key Takeaways:
The global business intelligence market size expanded at a CAGR of 5.0% from 2018 to 2022. In 2018, the global market size stood at US$ 21,962.1 million. The market size stood at US$ 26,745.8 million in 2022. In 2022, the solution segment captured 68.9% of market shares. The sales and marketing segment captured 42.3% shares in the global market. In 2022, the United States captured 19.4% shares in the global market. China held 8.3% shares in the global business intelligence industry in 2022. In 2022, the United Kingdom captured 6.7% shares in the global market.
Key Players:
IBM Oracle Microsoft SAP Google
Recent Developments Observed:
Ramp announced its ambitions to provide new artificial intelligence technologies in May 2023. The business plans to introduce the new tools with a function that might ascertain whether a firm has overpaid for its software contracts. SoftLedger debuted a business intelligence dashboard with real-time data in December 2022. The purpose of this publication is to assist Chief Financial Officers (CFOs) in making tactical decisions for their company.
Market Segmentation:
By Component:
Solution Dashboards and Scorecards Data Integration and ETL Reporting and Visualization Query and Analysis Service Consulting Services Deployment and Integration Services Support and Maintenance Services
By Organization Size:
By Business Function:
Human Resources Finance Operations Sales and Marketing
By Vertical:
Retail Manufacturing Government and Public Services Media Entertainment Transportation and Logistics BFSI Telecom and IT Healthcare and Hospitality
By Deployment:
By Region:
North America Latin America Europe East Asia South Asia Oceania The Middle East & Africa (MEA)
Elevate Your Business Strategy! Purchase the Report for Market-Driven Insights
About Future Market Insights (FMI)
Future Market Insights, Inc. (ESOMAR certified, recipient of the Stevie Award, and a member of the Greater New York Chamber of Commerce) offers profound insights into the driving factors that are boosting demand in the market. FMI stands as the leading global provider of market intelligence, advisory services, consulting, and events for the Packaging, Food and Beverage, Consumer Technology, Healthcare, Industrial, and Chemicals markets. With a vast team of over 400 analysts worldwide, FMI provides global, regional, and local expertise on diverse domains and industry trends across more than 110 countries. Join us as we commemorate 10 years of delivering trusted market insights. Reflecting on a decade of achievements, we continue to lead with integrity, innovation, and expertise.
Contact Us:
Future Market Insights Inc.Christiana Corporate, 200 Continental Drive,Suite 401, Newark, Delaware – 19713, USAT: +1-845-579-5705For Sales Enquiries: sales@futuremarketinsights.comWebsite: https://www.futuremarketinsights.comLinkedIn| Twitter| Blogs | YouTube
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.
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.
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.
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
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 instance, AI algorithms and predictive maintenance implemented through AIoT enable IoT devices to dynamically determine actions, self-program based on analytics and customer-defined knowledge, and reduce operating and maintenance costs for providers. AI can also predict machine failures, enabling proactive maintenance actions, thereby reducing downtime and extending the lifespan of critical equipment.
Generative AI technology, another essential element of SEALSQ’s strategy, further enhances the ecosystem’s learning capabilities, allowing autonomous IoT devices to operate with unprecedented precision. Whether navigating complex environments like self-driving cars or personalizing user experiences in smart homes, Generative AI optimizes functionality and adaptability. The market for AI in cybersecurity is intricately linked with IoT, encompassing applications such as fraud detection and network security. By integrating AI, these systems are able to recognize potential threats more effectively, enhancing overall security and resilience.
Looking toward the future, the growth of IoT is undeniable. According to the IoT Analytics “State of IoT—Spring 2023” report, “The number of global IoT connections grew by 18% in 2022 to 14.3 billion active IoT endpoints.” This trend is expected to continue, with forecasts predicting around 29 billion IoT connections by 2027. The combination of AI and IoT offers a powerful synergy—while IoT enables devices to communicate over the internet, AI empowers these devices to learn from their data and experiences. Many businesses have already begun incorporating AI and IoT into their processes and products, recognizing the transformative potential of this dynamic duo.
About SEALSQ
SEALSQ focuses on selling integrated solutions based on Semiconductors, PKI and Provisioning services, while developing Post-Quantum technology hardware and software products. Our solutions can be used in a variety of applications, from Multi-Factor Authentication tokens, Smart Energy, Smart Home Appliances, Medical and Healthcare and IT Network Infrastructure, to Automotive, Industrial Automation and Control Systems.
Post-Quantum Cryptography (PQC) refers to cryptographic methods that are secure against an attack by a quantum computer. As quantum computers become more powerful, they may be able to break many of the cryptographic methods that are currently used to protect sensitive information, such as RSA and Elliptic Curve Cryptography (ECC). PQC aims to develop new cryptographic methods that are secure against quantum attacks. For more information, please visit www.sealsq.com.
Forward-Looking StatementsThis communication expressly or implicitly contains certain forward-looking statements concerning SEALSQ Corp and its businesses. Forward-looking statements include statements regarding our business strategy, financial performance, results of operations, market data, events or developments that we expect or anticipates will occur in the future, as well as any other statements which are not historical facts. Although we believe that the expectations reflected in such forward-looking statements are reasonable, no assurance can be given that such expectations will prove to have been correct. These statements involve known and unknown risks and are based upon a number of assumptions and estimates which are inherently subject to significant uncertainties and contingencies, many of which are beyond our control. Actual results may differ materially from those expressed or implied by such forward-looking statements. Important factors that, in our view, could cause actual results to differ materially from those discussed in the forward-looking statements include the expected success of our technology strategy and solutions for IoMT Security for Medical and Healthcare sectors, SEALSQ’s ability to implement its growth strategies, SEALSQ’s ability to continue beneficial transactions with material parties, including a limited number of significant customers; market demand and semiconductor industry conditions; and the risks discussed in SEALSQ’s filings with the SEC. Risks and uncertainties are further described in reports filed by SEALSQ with the SEC.
SEALSQ Corp is providing this communication as of this date and does not undertake to update any forward-looking statements contained herein as a result of new information, future events or otherwise.
Press and Investor Contacts
SEALSQ Corp.Carlos MoreiraChairman & CEOTel: +41 22 594 3000info@sealsq.comSEALSQ Investor Relations (US)The Equity Group Inc.Lena CatiTel: +1 212 836-9611 / lcati@equityny.com
Katie MurphyTel: +212 836-9612 / kmurphy@equityny.com
Intuitive Intelligence And 8 Common Blocks That Impact It
Hulan Hagen is the founder and CEO of the Business Intuition Institute, an international executive coach, and strategy consultant.
getty
What is intuitive intelligence, and how can it help you solve today’s business challenges? According to experts, there are several problems of emerging importance in the business world. A few key issues are hiring for mindset, staying focused, adapting to consumer preferences, navigating change and integrating artificial intelligence. All of these demand foresight and creativity, which are elements of intuitive intelligence.
How can business leaders develop the intuitive intelligence necessary to flourish in the face of relentless technological, economic and social change? They must better comprehend this skill set and recognize common barriers that can negatively impact it.
Understanding Intuitive Intelligence
Intuitive intelligence is the ability to make decisions based on insights that aren’t obvious through logical reasoning. It synthesizes experience, instinct and subconscious information. In their 1958 book Organizations, James March and Herbert Simon showed how decision-making models that depend on complete knowledge of parameters, like return on investment and probabilities of outcomes, are unrealistic. Rationality is bounded or limited, and economists who claim that firms optimize profit assume too much. Bounded rationality necessitates satisficing, or just-good-enough, solutions.
But from the standpoint of intuitive intelligence, optimizing profit may amount to very little. Breakthrough innovation—the leap from zero to one, as entrepreneur Peter Thiel puts it—creates returns that blow past improvements possible through optimization. In Thiel’s terminology, optimizing can take a firm from one to n, with n being the optimal iteration of a product or service. But the blowoff profits are made from monopolizing innovations, or taking them from “zero to one” by creating something new.
The recognition that rationality is bounded can expand, rather than limit, outcomes because innovations that result from intuitive intelligence in the face of ambiguity can create new industries and monopoly profits. The best business decision-makers develop their intuitive intelligence to broaden their perceptual scope, jettisoning biases like stereotyping, thinking in one language and selective perception.
Masters Of Intuitive Intelligence
Beyond Peter Thiel, there are many leaders and entrepreneurs who saw opportunities for innovation and ran with them. For example, Richard Branson’s decision to start Virgin Atlantic—despite having no experience in the airline industry—was driven by the belief that he could offer better service than existing airlines.
Spanx’s founder Sara Blakely was getting ready for a party when she decided to cut the feet off some pantyhose and wear them under a pair of white pants to ensure her outfit had clean lines. Her intuitive thinking and firm understanding of her target market’s needs were key to her company’s success.
Howard Schultz, the former CEO of Starbucks, relied on his intuition to transform a dry-coffee store into a global coffeehouse chain by recreating the Italian coffeehouse experience in the United States. Starbucks, which was named after a character from Melville’s Moby Dick, was able to grow because Schultz intuited that customers would value a place to relax and socialize over a cup of coffee.
8 Common Blocks To Intuitive Intelligence
At the Business Intuition Institute, we’ve identified eight blocks to intuitive intelligence.
1. Lack Of Self-Awareness: Understanding your own thought processes and emotional responses is crucial. Intuitive intelligence requires reflection and pattern recognition.
2. Lack Of Experience And Knowledge: The more varied your experiences, the richer your pool of subconscious knowledge. By engaging in activities outside your usual scope, you can broaden your perspective and enhance your intuitive abilities.
3. Bias Against Intuition: Many professionals believe that only left-brained thinking, which is associated with logic, can result in profitable solutions. However, some of the greatest, revenue-generating innovations can come from right-brained, or creative and qualitative, thinking.
4. Thinking In One Language: A major barrier to intuitive intelligence is being locked into the process of deductive reasoning. Many of us think only in words or numbers. But intuitive insights arrive when we tap into the flow of our subconscious.
5. Selective Perception: Because of habits or unconscious blockages, we often instinctively restrict the kind of information we receive. To build up our intuition, we must overcome things like perceptual distortion and biases, artificial constraints or thinking inside the box.
6. Failing To See The Forest For The Trees: It’s common for decision-makers to get lost in detail and suffer from analysis paralysis. Being so caught up in the granular can keep people from big-picture, intuitive insights.
7. Conformity To Organizational Norms: When organizations have cultures that are overly uniform, they tend to block creativity and intuition.
8. Gresham’s Law: When ways of operating and thinking become the default process, the possibility of breakthrough intuitive thinking is hindered. Sir Thomas Greshman said that “bad money drives out good,” meaning that overuse of poor currency (or thinking, in this case) keeps people from making better currency. This phenomenon causes us to rely on second-rate forms of problem-solving because they’re familiar, which drives away creative, breakthrough solutions.
Business leaders who can overcome these barriers to intuitive intelligence will help open the doors for breakthrough innovation.
Conclusion
To harness the power of intuitive intelligence, we need to tap into our inner wisdom. Used alongside analytical thinking, this skill can help us generate innovative, original solutions that transform our businesses and create a bold future.
Forbes Coaches Council is an invitation-only community for leading business and career coaches. Do I qualify?
Intuitive Intelligence And 8 Common Blocks That Impact It
Hulan Hagen is the founder and CEO of the Business Intuition Institute, an international executive coach, and strategy consultant.
getty
What is intuitive intelligence, and how can it help you solve today’s business challenges? According to experts, there are several problems of emerging importance in the business world. A few key issues are hiring for mindset, staying focused, adapting to consumer preferences, navigating change and integrating artificial intelligence. All of these demand foresight and creativity, which are elements of intuitive intelligence.
How can business leaders develop the intuitive intelligence necessary to flourish in the face of relentless technological, economic and social change? They must better comprehend this skill set and recognize common barriers that can negatively impact it.
Understanding Intuitive Intelligence
Intuitive intelligence is the ability to make decisions based on insights that aren’t obvious through logical reasoning. It synthesizes experience, instinct and subconscious information. In their 1958 book Organizations, James March and Herbert Simon showed how decision-making models that depend on complete knowledge of parameters, like return on investment and probabilities of outcomes, are unrealistic. Rationality is bounded or limited, and economists who claim that firms optimize profit assume too much. Bounded rationality necessitates satisficing, or just-good-enough, solutions.
But from the standpoint of intuitive intelligence, optimizing profit may amount to very little. Breakthrough innovation—the leap from zero to one, as entrepreneur Peter Thiel puts it—creates returns that blow past improvements possible through optimization. In Thiel’s terminology, optimizing can take a firm from one to n, with n being the optimal iteration of a product or service. But the blowoff profits are made from monopolizing innovations, or taking them from “zero to one” by creating something new.
The recognition that rationality is bounded can expand, rather than limit, outcomes because innovations that result from intuitive intelligence in the face of ambiguity can create new industries and monopoly profits. The best business decision-makers develop their intuitive intelligence to broaden their perceptual scope, jettisoning biases like stereotyping, thinking in one language and selective perception.
Masters Of Intuitive Intelligence
Beyond Peter Thiel, there are many leaders and entrepreneurs who saw opportunities for innovation and ran with them. For example, Richard Branson’s decision to start Virgin Atlantic—despite having no experience in the airline industry—was driven by the belief that he could offer better service than existing airlines.
Spanx’s founder Sara Blakely was getting ready for a party when she decided to cut the feet off some pantyhose and wear them under a pair of white pants to ensure her outfit had clean lines. Her intuitive thinking and firm understanding of her target market’s needs were key to her company’s success.
Howard Schultz, the former CEO of Starbucks, relied on his intuition to transform a dry-coffee store into a global coffeehouse chain by recreating the Italian coffeehouse experience in the United States. Starbucks, which was named after a character from Melville’s Moby Dick, was able to grow because Schultz intuited that customers would value a place to relax and socialize over a cup of coffee.
8 Common Blocks To Intuitive Intelligence
At the Business Intuition Institute, we’ve identified eight blocks to intuitive intelligence.
1. Lack Of Self-Awareness: Understanding your own thought processes and emotional responses is crucial. Intuitive intelligence requires reflection and pattern recognition.
2. Lack Of Experience And Knowledge: The more varied your experiences, the richer your pool of subconscious knowledge. By engaging in activities outside your usual scope, you can broaden your perspective and enhance your intuitive abilities.
3. Bias Against Intuition: Many professionals believe that only left-brained thinking, which is associated with logic, can result in profitable solutions. However, some of the greatest, revenue-generating innovations can come from right-brained, or creative and qualitative, thinking.
4. Thinking In One Language: A major barrier to intuitive intelligence is being locked into the process of deductive reasoning. Many of us think only in words or numbers. But intuitive insights arrive when we tap into the flow of our subconscious.
5. Selective Perception: Because of habits or unconscious blockages, we often instinctively restrict the kind of information we receive. To build up our intuition, we must overcome things like perceptual distortion and biases, artificial constraints or thinking inside the box.
6. Failing To See The Forest For The Trees: It’s common for decision-makers to get lost in detail and suffer from analysis paralysis. Being so caught up in the granular can keep people from big-picture, intuitive insights.
7. Conformity To Organizational Norms: When organizations have cultures that are overly uniform, they tend to block creativity and intuition.
8. Gresham’s Law: When ways of operating and thinking become the default process, the possibility of breakthrough intuitive thinking is hindered. Sir Thomas Greshman said that “bad money drives out good,” meaning that overuse of poor currency (or thinking, in this case) keeps people from making better currency. This phenomenon causes us to rely on second-rate forms of problem-solving because they’re familiar, which drives away creative, breakthrough solutions.
Business leaders who can overcome these barriers to intuitive intelligence will help open the doors for breakthrough innovation.
Conclusion
To harness the power of intuitive intelligence, we need to tap into our inner wisdom. Used alongside analytical thinking, this skill can help us generate innovative, original solutions that transform our businesses and create a bold future.
Forbes Coaches Council is an invitation-only community for leading business and career coaches. Do I qualify?