Author: DAVID SANDUA
Publisher:
ISBN:
Category : Business & Economics
Languages : en
Pages : 186
Book Description
In an increasingly competitive and dynamic business world, artificial intelligence (AI) is the catalyst that can multiply your results. This book is an essential guide that will take you by the hand to understand how AI can transform every corner of your business. From automating routine tasks and freeing up your employees' time to using predictive analytics to optimize the supply chain, AI becomes an invaluable tool. The book also addresses how AI can improve data-driven decision making, enabling companies to identify growth opportunities and potential risks with never-before-seen accuracy. In the realm of customer service, you'll discover how chatbots and AI algorithms can personalize interactions, elevating customer satisfaction and thereby increasing sales. In addition, it does not skirt the ethical and privacy challenges that come with AI adoption, offering strategies for ethical and secure use of data. It also addresses the skills and talent gaps in AI adoption, providing strategies for fostering a culture of AI adoption in your company. If you are looking for a competitive advantage and aspire to exponential growth, this book is your map to the future. It gives you not only an overview of the AI landscape in business, but also practical and actionable strategies for implementing AI in your company effectively. In short, it's a must-read for any business leader who wants to be at the forefront of the technology revolution.
MULTIPLY BUSINESS RESULTS WITH ARTIFICIAL INTELLIGENCE
Author: DAVID SANDUA
Publisher:
ISBN:
Category : Business & Economics
Languages : en
Pages : 186
Book Description
In an increasingly competitive and dynamic business world, artificial intelligence (AI) is the catalyst that can multiply your results. This book is an essential guide that will take you by the hand to understand how AI can transform every corner of your business. From automating routine tasks and freeing up your employees' time to using predictive analytics to optimize the supply chain, AI becomes an invaluable tool. The book also addresses how AI can improve data-driven decision making, enabling companies to identify growth opportunities and potential risks with never-before-seen accuracy. In the realm of customer service, you'll discover how chatbots and AI algorithms can personalize interactions, elevating customer satisfaction and thereby increasing sales. In addition, it does not skirt the ethical and privacy challenges that come with AI adoption, offering strategies for ethical and secure use of data. It also addresses the skills and talent gaps in AI adoption, providing strategies for fostering a culture of AI adoption in your company. If you are looking for a competitive advantage and aspire to exponential growth, this book is your map to the future. It gives you not only an overview of the AI landscape in business, but also practical and actionable strategies for implementing AI in your company effectively. In short, it's a must-read for any business leader who wants to be at the forefront of the technology revolution.
Publisher:
ISBN:
Category : Business & Economics
Languages : en
Pages : 186
Book Description
In an increasingly competitive and dynamic business world, artificial intelligence (AI) is the catalyst that can multiply your results. This book is an essential guide that will take you by the hand to understand how AI can transform every corner of your business. From automating routine tasks and freeing up your employees' time to using predictive analytics to optimize the supply chain, AI becomes an invaluable tool. The book also addresses how AI can improve data-driven decision making, enabling companies to identify growth opportunities and potential risks with never-before-seen accuracy. In the realm of customer service, you'll discover how chatbots and AI algorithms can personalize interactions, elevating customer satisfaction and thereby increasing sales. In addition, it does not skirt the ethical and privacy challenges that come with AI adoption, offering strategies for ethical and secure use of data. It also addresses the skills and talent gaps in AI adoption, providing strategies for fostering a culture of AI adoption in your company. If you are looking for a competitive advantage and aspire to exponential growth, this book is your map to the future. It gives you not only an overview of the AI landscape in business, but also practical and actionable strategies for implementing AI in your company effectively. In short, it's a must-read for any business leader who wants to be at the forefront of the technology revolution.
Artificial Intelligence
Author: Harvard Business Review
Publisher: HBR Insights
ISBN: 9781633697898
Category : Business & Economics
Languages : en
Pages : 160
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.
Publisher: HBR Insights
ISBN: 9781633697898
Category : Business & Economics
Languages : en
Pages : 160
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.
Competing in the Age of AI
Author: Marco Iansiti
Publisher: Harvard Business Press
ISBN: 1633697630
Category : Business & Economics
Languages : en
Pages : 181
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.
Publisher: Harvard Business Press
ISBN: 1633697630
Category : Business & Economics
Languages : en
Pages : 181
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.
Artificial Intelligence in Practice
Author: Bernard Marr
Publisher: John Wiley & Sons
ISBN: 1119548969
Category : Business & Economics
Languages : en
Pages : 352
Book Description
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.
Publisher: John Wiley & Sons
ISBN: 1119548969
Category : Business & Economics
Languages : en
Pages : 352
Book Description
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.
Multiple Aspects of Artificial Intelligence
Author: Parul Saxena
Publisher: Book Saga Publications
ISBN: 9395470585
Category : Computers
Languages : en
Pages : 149
Book Description
In order to simulate human intellect in robots, a vast and interdisciplinary discipline known as artificial intelligence (AI) integrates computer science, data analysis, and problem-solving strategies. It entails the creation of algorithms and systems that give computers the ability to observe, comprehend, reason, pick up new information, and make decisions. Fundamentally, AI strives to build intelligent computers that can work independently, adapt to new circumstances, and display traits that resemble human intelligence. Machine learning and deep learning are two important subfields and methodologies within the umbrella of artificial intelligence (AI). The main goal of machine learning is to create algorithms that let computers learn from data and get better at what they do without being explicitly taught. Deep learning, a subset of machine learning, processes and analyses complicated data using artificial neural networks modelled after the structure and operation of the human brain. AI's main objective is to create machines that can carry out tasks that have historically required human intelligence, like speech and picture recognition, natural language processing, decision-making, problem-solving, and even creative activities. These systems use enormous databases and computational capacity to do amazing feats as they attempt to comprehend, analyse, and respond to the complexity of the world. AI algorithms can find patterns, connections, and insights by analysing and processing enormous amounts of data that may escape human observers. Significant improvements in a variety of fields, such as business, education, finance, and social media, have been made possible by this skill. By automating procedures, improving judgement, personalising interactions, and gleaning important insights from vast amounts of data, AI is revolutionising a variety of businesses.
Publisher: Book Saga Publications
ISBN: 9395470585
Category : Computers
Languages : en
Pages : 149
Book Description
In order to simulate human intellect in robots, a vast and interdisciplinary discipline known as artificial intelligence (AI) integrates computer science, data analysis, and problem-solving strategies. It entails the creation of algorithms and systems that give computers the ability to observe, comprehend, reason, pick up new information, and make decisions. Fundamentally, AI strives to build intelligent computers that can work independently, adapt to new circumstances, and display traits that resemble human intelligence. Machine learning and deep learning are two important subfields and methodologies within the umbrella of artificial intelligence (AI). The main goal of machine learning is to create algorithms that let computers learn from data and get better at what they do without being explicitly taught. Deep learning, a subset of machine learning, processes and analyses complicated data using artificial neural networks modelled after the structure and operation of the human brain. AI's main objective is to create machines that can carry out tasks that have historically required human intelligence, like speech and picture recognition, natural language processing, decision-making, problem-solving, and even creative activities. These systems use enormous databases and computational capacity to do amazing feats as they attempt to comprehend, analyse, and respond to the complexity of the world. AI algorithms can find patterns, connections, and insights by analysing and processing enormous amounts of data that may escape human observers. Significant improvements in a variety of fields, such as business, education, finance, and social media, have been made possible by this skill. By automating procedures, improving judgement, personalising interactions, and gleaning important insights from vast amounts of data, AI is revolutionising a variety of businesses.
Artificial Intelligence for Business Optimization
Author: Bhuvan Unhelkar
Publisher: CRC Press
ISBN: 1000409473
Category : Business & Economics
Languages : en
Pages : 295
Book Description
This book explains how AI and Machine Learning can be applied to help businesses solve problems, support critical thinking and ultimately create customer value and increase profit. By considering business strategies, business process modeling, quality assurance, cybersecurity, governance and big data and focusing on functions, processes, and people’s behaviors it helps businesses take a truly holistic approach to business optimization. It contains practical examples that make it easy to understand the concepts and apply them. It is written for practitioners (consultants, senior executives, decision-makers) dealing with real-life business problems on a daily basis, who are keen to develop systematic strategies for the application of AI/ML/BD technologies to business automation and optimization, as well as researchers who want to explore the industrial applications of AI and higher-level students.
Publisher: CRC Press
ISBN: 1000409473
Category : Business & Economics
Languages : en
Pages : 295
Book Description
This book explains how AI and Machine Learning can be applied to help businesses solve problems, support critical thinking and ultimately create customer value and increase profit. By considering business strategies, business process modeling, quality assurance, cybersecurity, governance and big data and focusing on functions, processes, and people’s behaviors it helps businesses take a truly holistic approach to business optimization. It contains practical examples that make it easy to understand the concepts and apply them. It is written for practitioners (consultants, senior executives, decision-makers) dealing with real-life business problems on a daily basis, who are keen to develop systematic strategies for the application of AI/ML/BD technologies to business automation and optimization, as well as researchers who want to explore the industrial applications of AI and higher-level students.
AI-Enabled Multiple-Criteria Decision-Making Approaches for Healthcare Management
Author: Kautish, Sandeep
Publisher: IGI Global
ISBN: 1668444070
Category : Computers
Languages : en
Pages : 294
Book Description
Multiple-criteria decision making, including multiple rule-based decision making, multiple-objective decision making, and multiple-attribute decision making, is used by clinical decision makers to analyze healthcare issues from various perspectives. In practical healthcare cases, semi-structured and unstructured decision-making issues involve multiple criteria that may conflict with each other. Thus, the use of multiple-criteria decision making is a promising source of practical solutions for such problems. AI-Enabled Multiple-Criteria Decision-Making Approaches for Healthcare Management investigates the contributions of practical multiple-criteria decision analysis applications and cases for healthcare management. The book also considers the best practices and tactics for utilizing multiple-criteria decision making to ensure the technology is utilized appropriately. Covering key topics such as fuzzy data, augmented reality, blockchain, and data transmission, this reference work is ideal for computer scientists, healthcare professionals, nurses, policymakers, researchers, scholars, academicians, practitioners, educators, and students.
Publisher: IGI Global
ISBN: 1668444070
Category : Computers
Languages : en
Pages : 294
Book Description
Multiple-criteria decision making, including multiple rule-based decision making, multiple-objective decision making, and multiple-attribute decision making, is used by clinical decision makers to analyze healthcare issues from various perspectives. In practical healthcare cases, semi-structured and unstructured decision-making issues involve multiple criteria that may conflict with each other. Thus, the use of multiple-criteria decision making is a promising source of practical solutions for such problems. AI-Enabled Multiple-Criteria Decision-Making Approaches for Healthcare Management investigates the contributions of practical multiple-criteria decision analysis applications and cases for healthcare management. The book also considers the best practices and tactics for utilizing multiple-criteria decision making to ensure the technology is utilized appropriately. Covering key topics such as fuzzy data, augmented reality, blockchain, and data transmission, this reference work is ideal for computer scientists, healthcare professionals, nurses, policymakers, researchers, scholars, academicians, practitioners, educators, and students.
Multiple Perspectives on Artificial Intelligence in Healthcare
Author: Mowafa Househ
Publisher: Springer Nature
ISBN: 3030673030
Category : Technology & Engineering
Languages : en
Pages : 198
Book Description
This book offers a comprehensive yet concise overview of the challenges and opportunities presented by the use of artificial intelligence in healthcare. It does so by approaching the topic from multiple perspectives, e.g. the nursing, consumer, medical practitioner, healthcare manager, and data analyst perspective. It covers human factors research, discusses patient safety issues, and addresses ethical challenges, as well as important policy issues. By reporting on cutting-edge research and hands-on experience, the book offers an insightful reference guide for health information technology professionals, healthcare managers, healthcare practitioners, and patients alike, aiding them in their decision-making processes. It will also benefit students and researchers whose work involves artificial intelligence-related research issues in healthcare.
Publisher: Springer Nature
ISBN: 3030673030
Category : Technology & Engineering
Languages : en
Pages : 198
Book Description
This book offers a comprehensive yet concise overview of the challenges and opportunities presented by the use of artificial intelligence in healthcare. It does so by approaching the topic from multiple perspectives, e.g. the nursing, consumer, medical practitioner, healthcare manager, and data analyst perspective. It covers human factors research, discusses patient safety issues, and addresses ethical challenges, as well as important policy issues. By reporting on cutting-edge research and hands-on experience, the book offers an insightful reference guide for health information technology professionals, healthcare managers, healthcare practitioners, and patients alike, aiding them in their decision-making processes. It will also benefit students and researchers whose work involves artificial intelligence-related research issues in healthcare.
Leveraging AI and Emotional Intelligence in Contemporary Business Organizations
Author: Sharma, Dipanker
Publisher: IGI Global
ISBN:
Category : Business & Economics
Languages : en
Pages : 471
Book Description
Organizations are facing an array of complex challenges that demand innovative solutions. From managing a diverse workforce and harnessing the power of data analytics to adapting to remote work and the pressing need for emotionally intelligent leaders, the demands on modern businesses are constantly evolving and increasing. Staying ahead of these challenges is not only essential for survival but also for thriving in an ever-changing environment. Leveraging AI and Emotional Intelligence in Contemporary Business Organizations is a compass that guides academic scholars, students, and practitioners through the turbulent seas of modern business management. It dissects the problems and offers clear, well-researched solutions. With a team of respected researchers, academicians, and professionals at the helm, this book is a beacon of knowledge, illuminating the path to success in today's business landscape.
Publisher: IGI Global
ISBN:
Category : Business & Economics
Languages : en
Pages : 471
Book Description
Organizations are facing an array of complex challenges that demand innovative solutions. From managing a diverse workforce and harnessing the power of data analytics to adapting to remote work and the pressing need for emotionally intelligent leaders, the demands on modern businesses are constantly evolving and increasing. Staying ahead of these challenges is not only essential for survival but also for thriving in an ever-changing environment. Leveraging AI and Emotional Intelligence in Contemporary Business Organizations is a compass that guides academic scholars, students, and practitioners through the turbulent seas of modern business management. It dissects the problems and offers clear, well-researched solutions. With a team of respected researchers, academicians, and professionals at the helm, this book is a beacon of knowledge, illuminating the path to success in today's business landscape.
Handbook of Research on Applying Emerging Technologies Across Multiple Disciplines
Author: Marchisio, Emiliano
Publisher: IGI Global
ISBN: 1799884775
Category : Technology & Engineering
Languages : en
Pages : 548
Book Description
In recent decades, there has been a groundbreaking evolution in technology. Every year, technology not only advances, but it also spreads throughout industries. Many fields such as law, education, business, engineering, and more have adopted these advanced technologies into their toolset. These technologies have a vastly different effect ranging from these different industries. The Handbook of Research on Applying Emerging Technologies Across Multiple Disciplines examines how technologies impact many different areas of knowledge. This book combines a solid theoretical approach with many practical applications of new technologies within many disciplines. Covering topics such as computer-supported collaborative learning, machine learning algorithms, and blockchain, this text is essential for technologists, IT specialists, programmers, computer scientists, engineers, managers, administrators, academicians, students, policymakers, and researchers.
Publisher: IGI Global
ISBN: 1799884775
Category : Technology & Engineering
Languages : en
Pages : 548
Book Description
In recent decades, there has been a groundbreaking evolution in technology. Every year, technology not only advances, but it also spreads throughout industries. Many fields such as law, education, business, engineering, and more have adopted these advanced technologies into their toolset. These technologies have a vastly different effect ranging from these different industries. The Handbook of Research on Applying Emerging Technologies Across Multiple Disciplines examines how technologies impact many different areas of knowledge. This book combines a solid theoretical approach with many practical applications of new technologies within many disciplines. Covering topics such as computer-supported collaborative learning, machine learning algorithms, and blockchain, this text is essential for technologists, IT specialists, programmers, computer scientists, engineers, managers, administrators, academicians, students, policymakers, and researchers.