The Artificial Intelligence Imperative
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The Artificial Intelligence Imperative: A Practical Roadmap for Business

The Artificial Intelligence Imperative: A Practical Roadmap for Business

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About the Book

This practical guide to artificial intelligence and its impact on industry dispels common myths and calls for cross-sector, collaborative leadership for the responsible design and embedding of AI in the daily work of businesses and oversight by boards. Artificial intelligence has arrived, and it's coming to a business near you. The disruptive impact of AI on the global economy—from health care to energy, financial services to agriculture, and defense to media—is enormous. Technology literacy is a must for traditional businesses, their boards, policy makers, and governance professionals. This is the first book to explain where AI comes from, why it has emerged as one of the most powerful forces in mergers and acquisitions and research and development, and what companies need to do to implement it successfully. It equips business leaders with a practical roadmap for competing and even thriving in the face of the coming AI revolution. The authors analyze competitive trends, provide industry and governance examples, and explain interactions between AI and other digital technologies, such as blockchain, cybersecurity, and the Internet of Things. At the same time, AI experts will learn how their research and products can increase the competitiveness of their businesses, and corporate boards will come away with a thorough knowledge of the AI governance, ethics, and risk questions to ask.

Table of Contents:
Foreword by Ian Bremmer Acknowledgments Introduction PART ONE THE PAST, PRESENT, AND FUTURE OF AI Chapter 1 A Brief History of AI Chapter 2 AI Social-Science Concepts Chapter 3 Key Cognitive and Machine Learning Approaches Chapter 4 AI Technologies: From Computer Vision to Drones Chapter 5 AI and Blockchain, IoT, Cybersecurity, and Quantum Computing PART TWO ENABLERS AND PRECONDITIONS TO ACHIEVE AI Chapter 6 Data Chapter 7 Algorithms Chapter 8 Hardware Chapter 9 Openness PART THREE THE RACE FOR AI DOMINANCE—FROM FULL-STACK COMPANIES TO "AI-AS-A-SERVICE" Chapter 10 AI Crossplay—Academia and the Private Sector Chapter 11 The Geopolitics of AI—China vs. USA Chapter 12 Full-Stack Companies—The Battle of the Giants Chapter 13 Product- and Domain-Focused ML Companies Chapter 14 Traditional and New Enterprise Companies Focused on ML Chapter 15 Introducing AI into a Traditional Business PART FOUR AI IN DIFFERENT SECTORS—FROM CARS TO MILITARY ROBOTS Chapter 16 AI and the Automotive Industry Chapter 17 AI in Health Care Chapter 18 AI and the Financial Sector Chapter 19 AI in Natural Resources and Utilities Chapter 20 AI in Other Business Sectors Chapter 21 AI in Government and the Military PART FIVE THE SOCIO-POLITICS OF AI—CRITICAL ISSUES Chapter 22 Data Control, AI, and Societies Chapter 23 The Future of Employment and the Pursuit of Life-Long Learning Chapter 24 Ethical Design and Social Governance PART SIX THE GOVERNANCE OF AI—A PRACTICAL ROADMAP FOR BUSINESS Chapter 25 Traditional Boards' Readiness to Address AI—Transforming Fear into Value Chapter 26 Discussing AI in the Boardroom Notes Index About the Authors


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Product Details
  • ISBN-13: 9781440859946
  • Publisher: Bloomsbury Publishing PLC
  • Binding: Hardback
  • Language: English
  • Sub Title: A Practical Roadmap for Business
  • Width: 156 mm
  • ISBN-10: 1440859949
  • Publisher Date: 12 Apr 2018
  • Height: 235 mm
  • No of Pages: 328
  • Weight: 775 gr


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