The artificial intelligence imperative : a practical roadmap for business
Author(s)
Bibliographic Information
The artificial intelligence imperative : a practical roadmap for business
Praeger, an imprint of ABC-CLIO, c2018
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Note
Includes bibliographical references and index
Description and Table of Contents
Description
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
by "Nielsen BookData"