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Author: Rohan Singh Rajput
Publisher: Cari Journals USA LLC
ISBN: 9914746152
Category : Computers
Languages : en
Pages : 86
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Book Description
TOPICS IN THE BOOK Proactive Edge Computing for Smart City: A Novel Case for ML-Powered IoT From Data to Decisions: Enhancing Retail with AI and Machine Learning Commercial Mobile Alert System LTE & 5G Network Optimization Harnessing the Power of AI for Enhanced Regulatory Compliance and Risk Management in Fintech
Author: Rohan Singh Rajput
Publisher: Cari Journals USA LLC
ISBN: 9914746152
Category : Computers
Languages : en
Pages : 86
Get Book
Book Description
TOPICS IN THE BOOK Proactive Edge Computing for Smart City: A Novel Case for ML-Powered IoT From Data to Decisions: Enhancing Retail with AI and Machine Learning Commercial Mobile Alert System LTE & 5G Network Optimization Harnessing the Power of AI for Enhanced Regulatory Compliance and Risk Management in Fintech
Author: Stoyan Tanev
Publisher: World Scientific
ISBN: 180061134X
Category : Business & Economics
Languages : en
Pages : 328
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Book Description
Artificial Intelligence and Innovation Management contributes to the ongoing debate among innovation scholars and practitioners focusing on the potential impact of Artificial Intelligence (AI) on the ways companies and organizations do business, operate and innovate. It considers AI as a source of innovation both in terms of innovation within the field of AI itself (AI innovation) and in terms of how it enables or disrupts innovation in other fields (AI-driven innovation). The book's content is driven by several important conclusions:It is therefore both necessary and timely to explore the different aspects of the relationship between AI and IM.The contributors to this book include both scholars and practitioners from multiple countries and different types of institutions. They were selected based on their ability to provide a relevant distinctive perspective on the relationship between AI and IM; the degree of their professional engagement with the field; their ability to contribute to the thematic and contextual diversity of the contributions; and their ability to provide actionable insights for both innovation scholars and practitioners.Helena Blackbright (Mälardalen University, Sweden) and Stoyan Tanev (Carleton University, Canada) are chairing the Special Interest Group on AI and IM at the International Society for Professional Innovation Management (https://www.ispim-innovation.com/).
Author: Udara Sandakelum
Publisher: Udara Sandakelum
ISBN: 1088268927
Category : Computers
Languages : en
Pages : 55
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Book Description
Embark on a groundbreaking journey through the realms of industry transformation with 'The AI Evolution: Transformative Innovations in Industries.' This captivating exploration delves into the revolutionary impact of artificial intelligence across diverse sectors, illuminating the profound changes reshaping our world. From the pioneering realms of AI in design processes and engineering innovations to the intricate landscapes of manufacturing excellence and supply chain management, each chapter unveils the cutting-edge applications propelling industries towards unprecedented efficiency and competitiveness. Navigate the complexities of ethical considerations and regulatory landscapes, as well as the promising horizons of sustainability and green innovations, all infused with AI's transformative power. Delve into the symbiotic relationship between collaborative robotics and AI integration, forging a new era of productivity and innovation. Discover how AI is redefining customer experiences, driving personalized interactions and enhancing service quality. Uncover its pivotal role in quality control, supply chain optimization, and predictive maintenance, revolutionizing operational standards and efficiency. From talent acquisition to marketing insights, financial services to healthcare innovation, 'The AI Evolution' offers a comprehensive panorama of AI's influence, providing invaluable insights for professionals, academics, and enthusiasts alike. Join us on this captivating odyssey as we unravel the complexities, challenges, and boundless potential of AI in shaping the future of industries and ushering in the dawn of Industry 4.0.
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: Bahaa Awwad
Publisher: Springer Nature
ISBN: 3031543793
Category :
Languages : en
Pages : 917
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Book Description
Author: Seth Earley
Publisher: LifeTree Media
ISBN: 1928055524
Category : Business & Economics
Languages : en
Pages : 203
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Book Description
Learn how to develop and employ an ontology, the secret weapon for successfully using artificial intelligence to create a powerful competitive advantage in your business. The AI-Powered Enterprise examines two fundamental questions: First, how will the future be different as a result of artificial intelligence? And second, what must companies do to stake their claim on that future? When the Web came along in the mid-90s, it transformed the behavior of customers and remade whole industries. Now, as part of its promise to bring revolutionary change in untold ways to human activity, artificial intelligence—AI—is about to create another complete transformation in how companies create and deliver value to customers. But despite the billions spent so far on bots and other tools, AI continues to stumble. Why can't it magically use all the data organizations generate to make them run faster and better? Because something is missing. AI works only when it understands the soul of the business. An ontology is a holistic digital model of every piece of information that matters to the business, from processes to products to people, and it's what makes the difference between the promise of AI and delivering on that promise. Business leaders who want to catch the AI wave—rather than be crushed by it—need to read The AI-Powered Enterprise. The book is the first to combine a sophisticated explanation of how AI works with a practical approach to applying AI to the problems of business, from customer experience to business operations to product development.
Author: Robbie Allen
Publisher: Addison-Wesley Professional
ISBN: 9780135226209
Category : Computers
Languages : en
Pages : 99998
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Book Description
Increasingly, business leaders and managers recognize that machine learning offers their companies immense opportunities for competitive advantage. But most discussions of machine learning are intensely technical or academic, and don't offer practical information leaders can use to identify, evaluate, plan, or manage projects. Deploying Machine Learning fills that gap, helping them clarify exactly how machine learning can help them, and collaborate with technologists to actually apply it successfully. You'll learn: What machine learning is, how it compares to "big data" and "artificial intelligence," and why it's suddenly so important What machine learning can do for you: solutions for computer vision, natural language processing, prediction, and more How to use machine learning to solve real business problems -- from reducing costs through improving decision-making and introducing new products Separating hype from reality: identifying pitfalls, limitations, and misconceptions upfront Knowing enough about the technology to work effectively with your technical team Getting the data right: sourcing, collection, governance, security, and culture Solving harder problems: exploring deep learning and other advanced techniques Understanding today's machine learning software and hardware ecosystem Evaluating potential projects, and addressing workforce concerns Staffing your project, acquiring the right tools, and building a workable project plan Interpreting results -- and building an organization that can increasingly learn from data Using machine learning responsibly and ethically Preparing for tomorrow's advances The authors conclude with five chapter-length case studies: image, text, and video analysis, chatbots, and prediction applications. For each, they don't just present results: they also illuminate the process the company undertook, and the pitfalls it overcame along the way.
Author: Marco Iansiti
Publisher: Harvard Business Press
ISBN: 1633697630
Category : Business & Economics
Languages : en
Pages : 175
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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: Ramesh Shetty
Publisher: Independently Published
ISBN:
Category : Business & Economics
Languages : en
Pages : 0
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Book Description
Welcome to the world of AI Business Models. In this rapidly evolving digital era, the fusion of artificial intelligence (AI) with business strategies has become a pivotal force reshaping industries across the globe. This book navigates the readers into the intricate tapestry of AI-driven business models, exploring the transformative potential, challenges, and opportunities that lie ahead. As authors, we embarked on this journey with a shared vision: to unravel the complexities of AI business models and provide readers with valuable insights into navigating this dynamic landscape. Our collective expertise in AI technologies, business strategy, and innovation has culminated in a comprehensive exploration of the subject matter. The books identify, evaluate, and compare various AI business models including product-based, service-based, subscription-based, cloud-based, data-centric, open-source, collaborative, platform-based and ecosystem-based AI business models. Efforts were also made to provide various real-world examples, use cases, and case studies to support the discussions carried out throughout the book. Furthermore, the book highlights the pivotal role of collaboration and community-driven innovation in shaping the future of AI business models. Whether through open-source initiatives or industry-specific ecosystems, the collective intelligence of diverse stakeholders is paramount in driving AI advancements and addressing real-world challenges. As you embark on this exploration of AI business models, we encourage you to approach each chapter with an open mind and a willingness to embrace the transformative potential of AI technologies. Whether you are a seasoned entrepreneur, a business leader, or an aspiring innovator, this book offers valuable insights and practical guidance to navigate the ever-changing landscape of AI-driven entrepreneurship.
Author: Khang, Alex
Publisher: IGI Global
ISBN:
Category : Medical
Languages : en
Pages : 393
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Book Description
Within the healthcare sector, a pressing need for transformative changes is growing. From chronic diseases to complex diagnostic procedures, the industry stands at the crossroads of technological innovation and a burgeoning demand for more efficient, precise interventions. Patient expectations are soaring, and the deluge of medical data is overwhelming traditional healthcare systems. It is within this challenging environment that AI-Driven Innovations in Digital Healthcare: Emerging Trends, Challenges, and Applications emerges as a beacon of insight and practical solutions. The traditional healthcare framework is struggling to keep pace with the diverse demands of patients and the ever-expanding volume of medical data. As diseases become more intricate, attempts to provide timely identification and precise treatment of ailments become increasingly elusive. The urgency for a paradigm shift in healthcare delivery is emphasized by the critical need for early interventions, particularly in disease prediction. This challenge necessitates a holistic approach that harnesses the power of artificial intelligence (AI) and innovative technologies to steer healthcare toward a more responsive and patient-centric future.
