Download or read book Artificial Intelligence Products in the United States written by Syarif M and published by Pocket Analytica. This book was released on 2023-11-14 with total page 50 pages. Available in PDF, EPUB and Kindle. Book excerpt: This research, conducted through desk research, offers key insights into the ever-changing AI landscape in the United States. These findings are a valuable resource for businesses, policymakers, and stakeholders seeking to navigate and leverage the evolving AI landscape in the United States. Details: 50 Pages 20+ Charts Projections for the market size of each AI sector from 2023 to 2030 in the United States, including the Compound Annual Growth Rate (CAGR) for each sector. Data Sources: Mainly obtained from Statista Premium, which exceeded 3000 USD for the data alone. AI's Impact on Business: Gain a deep understanding of the positive impact of AI technologies on increasing revenue and reducing costs across various business functions. Table of Content: Chapter 1: Executive Summary Scope and Limitation Chapter 2: Market Overview Historical Development of AI Software Current Market Landscape Key Approaches in AI business Strategy Leading U.S. AI Product Companies AI Software Ecosystem Companies Chapter 3: AI Segments AI Robotics Autonomous & Sensor Technology Computer Vision Generative AI Machine Learning Natural Language Processing Chapter 4: Market Growth and Projections User Share in Generative AI Businesses User Segmentation in United States Generative AI Adoption Across U.S. Generations U.S. 2021 Public Opinion Segmentation in AI Control Factors Driving Market Growth Investment and Funding Trends Chapter 5: Market Challenges Ethical and Regulatory Challenges Data Privacy and Security Concerns Talent Shortage Chapter 6: Competitive Analysis Competitive Landscape, AI Robotics Competitive Landscape, Autonomous & Sensor Technology Competitive Landscape, Computer Vision Competitive Landscape, Generative AI Competitive Landscape, Machine Learning Competitive Landscape, Natural Language Processing Competitive Strategies in AI Business Against Industry Giants Chapter 7: Global AI Business Impact by Function Increased Revenue in 2021 Cost Reduction in 2022 Supply Chain Benefits 2022 Chapter 8: Breakthrough Technologies Artificial Emotional Intelligence Reinforcement Learning Deep Learning Sequential Learning Chapter 9: Conclusion Chapter 10: Appendices Methodology: Extensive Desk Research, emphasizing data collection primarily from statista.com

Download or read book The U S Market for Artificial Intelligence Products written by Frost & Sullivan and published by . This book was released on 1985 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Artificial Intelligence written by Harvard Business Review and published by HBR Insights. This book was released on 2019 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt: Companies that don't use AI to their advantage will soon be left behind. Artificial intelligence and machine learning will drive a massive reshaping of the economy and society. What should you and your company be doing right now to ensure that your business is poised for success? These articles by AI experts and consultants will help you understand today's essential thinking on what AI is capable of now, how to adopt it in your organization, and how the technology is likely to evolve in the near future. Artificial Intelligence: The Insights You Need from Harvard Business Review will help you spearhead important conversations, get going on the right AI initiatives for your company, and capitalize on the opportunity of the machine intelligence revolution. Catch up on current topics and deepen your understanding of them with the Insights You Need series from Harvard Business Review. Featuring some of HBR's best and most recent thinking, Insights You Need titles are both a primer on today's most pressing issues and an extension of the conversation, with interesting research, interviews, case studies, and practical ideas to help you explore how a particular issue will impact your company and what it will mean for you and your business.

Download or read book Competing in the Age of AI written by Marco Iansiti and published by Harvard Business Press. This book was released on 2020-01-07 with total page 175 pages. Available in PDF, EPUB and Kindle. Book excerpt: "a provocative new book" — The New York Times AI-centric organizations exhibit a new operating architecture, redefining how they create, capture, share, and deliver value. Now with a new preface that explores how the coronavirus crisis compelled organizations such as Massachusetts General Hospital, Verizon, and IKEA to transform themselves with remarkable speed, Marco Iansiti and Karim R. Lakhani show how reinventing the firm around data, analytics, and AI removes traditional constraints on scale, scope, and learning that have restricted business growth for hundreds of years. From Airbnb to Ant Financial, Microsoft to Amazon, research shows how AI-driven processes are vastly more scalable than traditional processes, allow massive scope increase, enabling companies to straddle industry boundaries, and create powerful opportunities for learning—to drive ever more accurate, complex, and sophisticated predictions. When traditional operating constraints are removed, strategy becomes a whole new game, one whose rules and likely outcomes this book will make clear. Iansiti and Lakhani: Present a framework for rethinking business and operating models Explain how "collisions" between AI-driven/digital and traditional/analog firms are reshaping competition, altering the structure of our economy, and forcing traditional companies to rearchitect their operating models Explain the opportunities and risks created by digital firms Describe the new challenges and responsibilities for the leaders of both digital and traditional firms Packed with examples—including many from the most powerful and innovative global, AI-driven competitors—and based on research in hundreds of firms across many sectors, this is your essential guide for rethinking how your firm competes and operates in the era of AI.

Download or read book The New Artificial Intelligence Market written by Aman Naimat and published by . This book was released on 2016 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Artificial Intelligence written by Dr. Prabhat Kumar and published by BPB Publications. This book was released on 2019-09-19 with total page 487 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how Artificial Intelligence (AI) strikes deeper roots with new products and services DESCRIPTION Our World of personal life and work is set to change dramatically over the next decade as Artificial Intelligence (AI) strikes deeper roots with new products and services; robots take charge of manufacturing and warehouses; and drones reach the remote corners to deliver orders to customers. AI services and robots will particularly facilitate the life of the older people and the visually-impaired. AI has raised the bar of competition in the international market place and countries are busy implementing policies that will keep them ahead in the race of the next-generational change. AI will raise the productivity of the economy and provide a lot more convenience, though there is bound to be a short-term pain in the transformational process. This book explains the concepts of AI with lots of real-life examples. While the big tech companies like Alphabet, Amazon, Apple, Facebook, IBM, Microsoft (3AFIM) of the US and Alibaba, Baidu, JD.com, Tencent (ABJY) of chine are busy re-fashioning their businesses by integrating AI into all products and services they deliver, startups on the other hand are disrupting the traditional business models in finance, e-commerce, healthcare, HR management, fashion, law and even agriculture. AI-driven smart cities would provide a richer quality of living to their residents. This book also provide an insight into various social and ethical issues, such as monopoly of the big tech, ownership of data, personal privacy, job losses and autonomy of technology particularly in military warfare, which poses an existential threat to mankind. Future of AI is also discusses taking a 360-degree approach. Ê AI offers a huge economic opportunity, but a thoughtful approach for democratization of technology is required to provide benefits to all sections of the society. Nations and communities need to come together to evolve models that will be sustainable in the long run. KEY FEATURES The book gives a lucid introduction to the idea of AI. The book is insightful for an academic understanding of AI in the concept of Legal Personality meant for Ê every person, including professionals in the field of Technology, Finance, Healthcare, HR Management, Agriculture.. The book gives a idea about many new AI products and services being released in the market. The book presents various social, ethical, and political challenges including significant risk to humanity. WHAT WILL YOU LEARN Able to solve real-life AI case studies. Understand the future of AI solutions and adapt quickly to them. WHO THIS BOOK IS FOR It is a simple, explanatory, and descriptive guide for developers, technology consultants, and those interested in AI and wants to understand the fundamentals of AI and implement it practically by devising smart solutions. Table of Contents _1. Ê Ê AI, How it is transforming Life and BusinessÊ 2. Ê Ê Understanding AI and Associated TechnologiesÊ 3. Ê Ê AI in the ÔbullÕ run 4. Ê Ê Data, the Engine of AIÊ 5. Ê Ê Big tech bets big on AI 6. Ê Ê AI Startups that transformed Businesses 7. Ê Ê AI Startups in FinanceÊ 8. Ê Ê AI Startups in Healthcare 9. Ê Ê AI Startups in Human ResourceÊ 10. Ê AI Startups in Fashion, Law, Agriculture and Other Areas 11. Ê Ethical, Social and Political issues in AI 12. Ê Future of AI 13. Ê Conclusion

Download or read book Artificial Intelligence in Practice written by Bernard Marr and published by John Wiley & Sons. This book was released on 2019-04-15 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cyber-solutions to real-world business problems Artificial Intelligence in Practice is a fascinating look into how companies use AI and machine learning to solve problems. Presenting 50 case studies of actual situations, this book demonstrates practical applications to issues faced by businesses around the globe. The rapidly evolving field of artificial intelligence has expanded beyond research labs and computer science departments and made its way into the mainstream business environment. Artificial intelligence and machine learning are cited as the most important modern business trends to drive success. It is used in areas ranging from banking and finance to social media and marketing. This technology continues to provide innovative solutions to businesses of all sizes, sectors and industries. This engaging and topical book explores a wide range of cases illustrating how businesses use AI to boost performance, drive efficiency, analyse market preferences and many others. Best-selling author and renowned AI expert Bernard Marr reveals how machine learning technology is transforming the way companies conduct business. This detailed examination provides an overview of each company, describes the specific problem and explains how AI facilitates resolution. Each case study provides a comprehensive overview, including some technical details as well as key learning summaries: Understand how specific business problems are addressed by innovative machine learning methods Explore how current artificial intelligence applications improve performance and increase efficiency in various situations Expand your knowledge of recent AI advancements in technology Gain insight on the future of AI and its increasing role in business and industry Artificial Intelligence in Practice: How 50 Successful Companies Used Artificial Intelligence to Solve Problems is an insightful and informative exploration of the transformative power of technology in 21st century commerce.

Download or read book AI for Marketing and Product Innovation written by A. K. Pradeep and published by John Wiley & Sons. This book was released on 2018-12-06 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get on board the next massive marketing revolution AI for Marketing and Product Innovation offers creatives and marketing professionals a non-tech guide to artificial intelligence (AI) and machine learning (ML)—twin technologies that stand poised to revolutionize the way we sell. The future is here, and we are in the thick of it; AI and ML are already in our lives every day, whether we know it or not. The technology continues to evolve and grow, but the capabilities that make these tools world-changing for marketers are already here—whether we use them or not. This book helps you lean into the curve and take advantage of AI’s unparalleled and rapidly expanding power. More than a simple primer on the technology, this book goes beyond the “what” to show you the “how”: How do we use AI and ML in ways that speak to the human spirit? How to we translate cold technological innovation into creative tools that forge deep human connections? Written by a team of experts at the intersection of neuroscience, technology, and marketing, this book shows you the ins and outs of these groundbreaking technological tools. Understand AI and ML technology in layman’s terms Harness the twin technologies unparalleled power to transform marketing Learn which skills and resources you need to use AI and ML effectively Employ AI and ML in ways that resonate meaningfully with customers Learn practical examples of how to reinvest product innovation, brand building, targeted marketing and media measurement to connect with people and enhance ROI Discover the true impact of AI and ML from real-world examples, and learn the thinking, best practices, and metrics you need to capture this lightning and take the next massive leap in the evolution of customer connection. AI for Marketing and Product Innovation shows you everything you need to know to get on board.

Download or read book The Economics of Artificial Intelligence written by Ajay Agrawal and published by University of Chicago Press. This book was released on 2024-03-05 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: A timely investigation of the potential economic effects, both realized and unrealized, of artificial intelligence within the United States healthcare system. In sweeping conversations about the impact of artificial intelligence on many sectors of the economy, healthcare has received relatively little attention. Yet it seems unlikely that an industry that represents nearly one-fifth of the economy could escape the efficiency and cost-driven disruptions of AI. The Economics of Artificial Intelligence: Health Care Challenges brings together contributions from health economists, physicians, philosophers, and scholars in law, public health, and machine learning to identify the primary barriers to entry of AI in the healthcare sector. Across original papers and in wide-ranging responses, the contributors analyze barriers of four types: incentives, management, data availability, and regulation. They also suggest that AI has the potential to improve outcomes and lower costs. Understanding both the benefits of and barriers to AI adoption is essential for designing policies that will affect the evolution of the healthcare system.

Download or read book Artificial Intelligence Products Facts written by and published by . This book was released on 1986-10-01 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Artificial Intelligence in Healthcare written by Adam Bohr and published by Academic Press. This book was released on 2020-06-21 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data

Download or read book Preparing for the Future of Artificial Intelligence written by Committee on Technology National Science and Technology Council, Committee on Technology and published by Createspace Independent Publishing Platform. This book was released on 2016-10-30 with total page 58 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in Artificial Intelligence (AI) technology have opened up new markets and new opportunities for progress in critical areas such as health, education, energy, and the environment. In recent years, machines have surpassed humans in the performance of certain specific tasks, such as some aspects of image recognition. Experts forecast that rapid progress in the field of specialized artificial intelligence will continue. Although it is very unlikely that machines will exhibit broadly-applicable intelligence comparable to or exceeding that of humans in the next 20 years, it is to be expected that machines will reach and exceed human performance on more and more tasks. As a contribution toward preparing the United States for a future in which AI plays a growing role, this report surveys the current state of AI, its existing and potential applications, and the questions that are raised for society and public policy by progress in AI. The report also makes recommendations for specific further actions by Federal agencies and other actors.

Download or read book U S Industrial Outlook written by and published by . This book was released on 1994 with total page 664 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents industry reviews including a section of "trends and forecasts," complete with tables and graphs for industry analysis.

Download or read book Powering the Digital Economy Opportunities and Risks of Artificial Intelligence in Finance written by El Bachir Boukherouaa and published by International Monetary Fund. This book was released on 2021-10-22 with total page 35 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper discusses the impact of the rapid adoption of artificial intelligence (AI) and machine learning (ML) in the financial sector. It highlights the benefits these technologies bring in terms of financial deepening and efficiency, while raising concerns about its potential in widening the digital divide between advanced and developing economies. The paper advances the discussion on the impact of this technology by distilling and categorizing the unique risks that it could pose to the integrity and stability of the financial system, policy challenges, and potential regulatory approaches. The evolving nature of this technology and its application in finance means that the full extent of its strengths and weaknesses is yet to be fully understood. Given the risk of unexpected pitfalls, countries will need to strengthen prudential oversight.

Download or read book Artificial Intelligent Predicts Market Behaviors written by Johnny Ch Lok and published by . This book was released on 2020-01-27 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt: Challenges of artificial intelligence, algorithms technology and machine learning impact to consumption marketMarkets have played a key role in providing individuals and businesses with the opportunity to gain from trade. If (AI) big data gather tool can predict how to change potential customer behavior in success. The challenges to consumers will face that the overall market consumption model will be dominated by the businessmen only. So, it is not fair or reasonable to consumers, because (AI) big data gather tool has controlled or dominated all consumers' minds and it has predicted how and why every kind of product or service consumer shopping model or consumption behaviors how will change.It will bring this questions: How can market designers learn the characteristics necessary to set optimal, or at least better, reserve prices after they had gather all data to conclude the analytical results of their consumers behaviors how will change? How can market designers better learn the environments of their markets?In response to these challenges, artificial intelligence (AI ) and machine learning are important tools for market design. For example, retailers and marketplaces, such as eBay, Amazon and many others are mining their vast amounts of data to identity patterns that help them create better shopping experiences for their clients and increase the efficiency of their markets. By having better prediction tools, these and their companies can predict and better manage dynamic consumption market environments. The improved forecasting that (AI) and machine learning algorithms provide help marketplaces and retailers better anticipate consumer demand and producer supply as well as help target products and activities for segmented markets. Another important application of (AI) 's strength in improving forecasting to help markets operate more efficiently is in electricity market example. To operate efficiently, electricity marker makers can attempt to apply (AI) machine learning tool to follow every household family electricity consumers' past electricity consumption record to judge ( predict) how it will be every family's forecasting in the year.

Download or read book Artificial Intelligence Automation and the Economy written by Executive Office of the President and published by Createspace Independent Publishing Platform. This book was released on 2017-03-12 with total page 56 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in Artificial Intelligence (AI) technology and related fields have opened up new markets and new opportunities for progress in critical areas such as health, education, energy, economic inclusion, social welfare, and the environment. In recent years, machines have surpassed humans in the performance of certain tasks related to intelligence, such as aspects of image recognition. Experts forecast that rapid progress in the field of specialized artificial intelligence will continue. Although it is unlikely that machines will exhibit broadly-applicable intelligence comparable to or exceeding that of humans in the next 20 years, it is to be expected that machines will continue to reach and exceed human performance on more and more tasks. AI-driven automation will continue to create wealth and expand the American economy in the coming years, but, while many will benefit, that growth will not be costless and will be accompanied by changes in the skills that workers need to succeed in the economy, and structural changes in the economy. Aggressive policy action will be needed to help Americans who are disadvantaged by these changes and to ensure that the enormous benefits of AI and automation are developed by and available to all. Following up on the Administration's previous report, Preparing for the Future of Artificial Intelligence, which was published in October 2016, this report further investigates the effects of AI-driven automation on the U.S. job market and economy, and outlines recommended policy responses. This report was produced by a team from the Executive Office of the President including staff from the Council of Economic Advisers, Domestic Policy Council, National Economic Council, Office of Management and Budget, and Office of Science and Technology Policy. The analysis and recommendations included herein draw on insights learned over the course of the Future of AI Initiative, which was announced in May of 2016, and included Federal Government coordination efforts and cross-sector and public outreach on AI and related policy matters.

Download or read book Artificial Intelligence for Marketing written by Jim Sterne and published by John Wiley & Sons. This book was released on 2017-08-14 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt: A straightforward, non-technical guide to the next major marketing tool Artificial Intelligence for Marketing presents a tightly-focused introduction to machine learning, written specifically for marketing professionals. This book will not teach you to be a data scientist—but it does explain how Artificial Intelligence and Machine Learning will revolutionize your company's marketing strategy, and teach you how to use it most effectively. Data and analytics have become table stakes in modern marketing, but the field is ever-evolving with data scientists continually developing new algorithms—where does that leave you? How can marketers use the latest data science developments to their advantage? This book walks you through the "need-to-know" aspects of Artificial Intelligence, including natural language processing, speech recognition, and the power of Machine Learning to show you how to make the most of this technology in a practical, tactical way. Simple illustrations clarify complex concepts, and case studies show how real-world companies are taking the next leap forward. Straightforward, pragmatic, and with no math required, this book will help you: Speak intelligently about Artificial Intelligence and its advantages in marketing Understand how marketers without a Data Science degree can make use of machine learning technology Collaborate with data scientists as a subject matter expert to help develop focused-use applications Help your company gain a competitive advantage by leveraging leading-edge technology in marketing Marketing and data science are two fast-moving, turbulent spheres that often intersect; that intersection is where marketing professionals pick up the tools and methods to move their company forward. Artificial Intelligence and Machine Learning provide a data-driven basis for more robust and intensely-targeted marketing strategies—and companies that effectively utilize these latest tools will reap the benefit in the marketplace. Artificial Intelligence for Marketing provides a nontechnical crash course to help you stay ahead of the curve.