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Author: Bechoo Lal
Publisher: Xoffencerpublication
ISBN: 8119534247
Category : Computers
Languages : en
Pages : 195
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Book Description
In the current day and age of technology, buzzwords such as artificial intelligence (AI), the internet of things (IoT), and cloud computing are often used. AI is the technology that tries to make computers or other machines equal to the human brain, making them capable of learning and problem-solving in the same way that humans do. Applications based on AI may be readily connected with other developing technologies such as the Internet of Things (IoT), the cloud, Big Data, and Blockchain. The Internet of Things refers to a network of interconnected, internet-enabled items or things that are able to gather and share data with one another. In recognition of the idea of the Internet of items, a significant number of tangible items are now being connected with the internet at an exceptionally rapid pace. By the year 2025, there will be more than 30 billion Internet of Things connections, with approximately four Internet of Things devices per person on average, according to reports and current trends. Cloud computing provides a means through which the huge amounts of data created by these Internet of Things applications may be sent to their respective endpoints. The use of cloud computing is widely acknowledged to be a facility for the processing and storage of data. Just-in-time processing and lightning fast response times are necessities for any and all real-time applications that make use of the Internet of Things. Researchers, academics, and industrialists in the fields of health care, agriculture, telecommunications, online and mobile commerce, and transportation have shown a significant amount of interest in AI and IoT-based data. In today's world, AI-based methodologies increase the role that IoT plays in business monitoring, health-care monitoring, illness prediction, bioinformatics, research and development, stock market prediction, social network analysis, weather analysis, agriculture, transportation, and resource optimization. The implementation of these applications needs a certain amount of processing capability as well as data storage, both of which are often given by cloud-based services. The data that has been saved is processed in a high-precision and just-in-time way with the help of AI algorithms. The cloud is a strong instrument that can send data not only via the standard channels of the internet but also through a dedicated direct connection. The Internet of Things becomes the source of creating enormous amounts of data, and the cloud becomes an essential component for data storage. As a result, the Internet of Things and clouds have become deeply intertwined in order to provide commercial business services. 1 | P a ge This configuration is sometimes referred to as cloud-based IoT. As a result of their success in providing cloud-based Internet of Things (IoT) services, companies like Amazon Web Services (AWS), Google, and Microsoft have become industry leaders. This makes the task much more rewarding. In addition, the cloud-based Internet of items is utilized to link a broad variety of intelligent items for usage in different applications. Artificial intelligence (AI), the internet of things (IoT), and cloud computing all play significant roles in a variety of domains in the present and will continue to do so in the future. The goal of AI is to analyze and collect the data produced through cloud-based Internet of Things devices by gathering data from a variety of businesses. Integrating AI, IoT, and the cloud has resulted in a transformation of both the entire storage capacity and the digital world, and as a result, it has become a subject of intense interest among academics and academicians. The purpose of this chapter is to place an emphasis on the function that AI plays in data storage that is based on the cloud and IoT. The remaining parts of the chapter are broken down into the following sections: storing of data on the cloud is the primary emphasis. examines the function that IoT plays in cloud environments. In addition, the part that AI plays in the Internet of Things (IoT) and cloud data storage is discussed in. Section 6 brings the chapter to a close by discussing the applications of AI, IoT, and clouds in a variety of industries.
Author: Bechoo Lal
Publisher: Xoffencerpublication
ISBN: 8119534247
Category : Computers
Languages : en
Pages : 195
Get Book Here
Book Description
In the current day and age of technology, buzzwords such as artificial intelligence (AI), the internet of things (IoT), and cloud computing are often used. AI is the technology that tries to make computers or other machines equal to the human brain, making them capable of learning and problem-solving in the same way that humans do. Applications based on AI may be readily connected with other developing technologies such as the Internet of Things (IoT), the cloud, Big Data, and Blockchain. The Internet of Things refers to a network of interconnected, internet-enabled items or things that are able to gather and share data with one another. In recognition of the idea of the Internet of items, a significant number of tangible items are now being connected with the internet at an exceptionally rapid pace. By the year 2025, there will be more than 30 billion Internet of Things connections, with approximately four Internet of Things devices per person on average, according to reports and current trends. Cloud computing provides a means through which the huge amounts of data created by these Internet of Things applications may be sent to their respective endpoints. The use of cloud computing is widely acknowledged to be a facility for the processing and storage of data. Just-in-time processing and lightning fast response times are necessities for any and all real-time applications that make use of the Internet of Things. Researchers, academics, and industrialists in the fields of health care, agriculture, telecommunications, online and mobile commerce, and transportation have shown a significant amount of interest in AI and IoT-based data. In today's world, AI-based methodologies increase the role that IoT plays in business monitoring, health-care monitoring, illness prediction, bioinformatics, research and development, stock market prediction, social network analysis, weather analysis, agriculture, transportation, and resource optimization. The implementation of these applications needs a certain amount of processing capability as well as data storage, both of which are often given by cloud-based services. The data that has been saved is processed in a high-precision and just-in-time way with the help of AI algorithms. The cloud is a strong instrument that can send data not only via the standard channels of the internet but also through a dedicated direct connection. The Internet of Things becomes the source of creating enormous amounts of data, and the cloud becomes an essential component for data storage. As a result, the Internet of Things and clouds have become deeply intertwined in order to provide commercial business services. 1 | P a ge This configuration is sometimes referred to as cloud-based IoT. As a result of their success in providing cloud-based Internet of Things (IoT) services, companies like Amazon Web Services (AWS), Google, and Microsoft have become industry leaders. This makes the task much more rewarding. In addition, the cloud-based Internet of items is utilized to link a broad variety of intelligent items for usage in different applications. Artificial intelligence (AI), the internet of things (IoT), and cloud computing all play significant roles in a variety of domains in the present and will continue to do so in the future. The goal of AI is to analyze and collect the data produced through cloud-based Internet of Things devices by gathering data from a variety of businesses. Integrating AI, IoT, and the cloud has resulted in a transformation of both the entire storage capacity and the digital world, and as a result, it has become a subject of intense interest among academics and academicians. The purpose of this chapter is to place an emphasis on the function that AI plays in data storage that is based on the cloud and IoT. The remaining parts of the chapter are broken down into the following sections: storing of data on the cloud is the primary emphasis. examines the function that IoT plays in cloud environments. In addition, the part that AI plays in the Internet of Things (IoT) and cloud data storage is discussed in. Section 6 brings the chapter to a close by discussing the applications of AI, IoT, and clouds in a variety of industries.
Author: El Bachir Boukherouaa
Publisher: International Monetary Fund
ISBN: 1589063953
Category : Business & Economics
Languages : en
Pages : 35
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Book Description
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.
Author: Harvard Business Review
Publisher: HBR Insights
ISBN: 9781633697898
Category : Business & Economics
Languages : en
Pages : 160
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Book Description
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.
Author: Adam Bohr
Publisher: Academic Press
ISBN: 0128184396
Category : Computers
Languages : en
Pages : 385
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Book Description
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
Author: Ajay Agrawal
Publisher: University of Chicago Press
ISBN: 0226833127
Category : Business & Economics
Languages : en
Pages : 172
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Book Description
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.
Author: Darrell M. West
Publisher: Brookings Institution Press
ISBN: 0815732945
Category : Political Science
Languages : en
Pages : 223
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Book Description
Looking for ways to handle the transition to a digital economy Robots, artificial intelligence, and driverless cars are no longer things of the distant future. They are with us today and will become increasingly common in coming years, along with virtual reality and digital personal assistants. As these tools advance deeper into everyday use, they raise the question—how will they transform society, the economy, and politics? If companies need fewer workers due to automation and robotics, what happens to those who once held those jobs and don't have the skills for new jobs? And since many social benefits are delivered through jobs, how are people outside the workforce for a lengthy period of time going to earn a living and get health care and social benefits? Looking past today's headlines, political scientist and cultural observer Darrell M. West argues that society needs to rethink the concept of jobs, reconfigure the social contract, move toward a system of lifetime learning, and develop a new kind of politics that can deal with economic dislocations. With the U.S. governance system in shambles because of political polarization and hyper-partisanship, dealing creatively with the transition to a fully digital economy will vex political leaders and complicate the adoption of remedies that could ease the transition pain. It is imperative that we make major adjustments in how we think about work and the social contract in order to prevent society from spiraling out of control. This book presents a number of proposals to help people deal with the transition from an industrial to a digital economy. We must broaden the concept of employment to include volunteering and parenting and pay greater attention to the opportunities for leisure time. New forms of identity will be possible when the "job" no longer defines people's sense of personal meaning, and they engage in a broader range of activities. Workers will need help throughout their lifetimes to acquire new skills and develop new job capabilities. Political reforms will be necessary to reduce polarization and restore civility so there can be open and healthy debate about where responsibility lies for economic well-being. This book is an important contribution to a discussion about tomorrow—one that needs to take place today.
Author: OECD
Publisher: OECD Publishing
ISBN: 9264545190
Category :
Languages : en
Pages : 152
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Book Description
The artificial intelligence (AI) landscape has evolved significantly from 1950 when Alan Turing first posed the question of whether machines can think. Today, AI is transforming societies and economies. It promises to generate productivity gains, improve well-being and help address global challenges, such as climate change, resource scarcity and health crises.
Author: Marco Iansiti
Publisher: Harvard Business Press
ISBN: 1633697630
Category : Business & Economics
Languages : en
Pages : 181
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Book Description
"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.
Author: UNESCO International Centre for Technical and Vocational Education and Training
Publisher: UNESCO Publishing
ISBN: 9231004468
Category : Political Science
Languages : en
Pages : 56
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Book Description
Author: David D. Luxton
Publisher: Academic Press
ISBN: 0128007923
Category : Psychology
Languages : en
Pages : 309
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Book Description
Artificial Intelligence in Behavioral and Mental Health Care summarizes recent advances in artificial intelligence as it applies to mental health clinical practice. Each chapter provides a technical description of the advance, review of application in clinical practice, and empirical data on clinical efficacy. In addition, each chapter includes a discussion of practical issues in clinical settings, ethical considerations, and limitations of use. The book encompasses AI based advances in decision-making, in assessment and treatment, in providing education to clients, robot assisted task completion, and the use of AI for research and data gathering. This book will be of use to mental health practitioners interested in learning about, or incorporating AI advances into their practice and for researchers interested in a comprehensive review of these advances in one source. - Summarizes AI advances for use in mental health practice - Includes advances in AI based decision-making and consultation - Describes AI applications for assessment and treatment - Details AI advances in robots for clinical settings - Provides empirical data on clinical efficacy - Explores practical issues of use in clinical settings
