The Artificial Intelligence Imperative

A Practical Roadmap for Business
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Gewicht:
660 g
Format:
240x161x22 mm
Beschreibung:

Anastassia Lauterbach, PhD, is an international technology strategist, advisor, investor, and entrepreneur who has served as a director of Dun & Bradstreet since 2013 and held numerous executive roles.Andrea Bonime-Blanc, JD, PhD, is governance, ethics, and risk strategist and founder and CEO of GEC Risk Advisory, serving companies, NGOs, and governments.
Provides traditional businesses and their boards with practical questions to ask their teams, suppliers, and technology partners and offers guidance on market trends and players to which to pay attention
Foreword by Ian BremmerAcknowledgmentsIntroductionPART ONE THE PAST, PRESENT, AND FUTURE OF AIChapter 1 A Brief History of AIChapter 2 AI Social-Science ConceptsChapter 3 Key Cognitive and Machine Learning ApproachesChapter 4 AI Technologies: From Computer Vision to DronesChapter 5 AI and Blockchain, IoT, Cybersecurity, and Quantum ComputingPART TWO ENABLERS AND PRECONDITIONS TO ACHIEVE AIChapter 6 DataChapter 7 AlgorithmsChapter 8 HardwareChapter 9 OpennessPART THREE THE RACE FOR AI DOMINANCE-FROM FULL-STACK COMPANIES TO "AI-AS-A-SERVICE"Chapter 10 AI Crossplay-Academia and the Private SectorChapter 11 The Geopolitics of AI-China vs. USAChapter 12 Full-Stack Companies-The Battle of the GiantsChapter 13 Product- and Domain-Focused ML CompaniesChapter 14 Traditional and New Enterprise Companies Focused on MLChapter 15 Introducing AI into a Traditional BusinessPART FOUR AI IN DIFFERENT SECTORS-FROM CARS TO MILITARY ROBOTSChapter 16 AI and the Automotive IndustryChapter 17 AI in Health CareChapter 18 AI and the Financial SectorChapter 19 AI in Natural Resources and UtilitiesChapter 20 AI in Other Business SectorsChapter 21 AI in Government and the MilitaryPART FIVE THE SOCIO-POLITICS OF AI-CRITICAL ISSUESChapter 22 Data Control, AI, and SocietiesChapter 23 The Future of Employment and the Pursuit of Life-Long LearningChapter 24 Ethical Design and Social GovernancePART SIX THE GOVERNANCE OF AI-A PRACTICAL ROADMAP FOR BUSINESSChapter 25 Traditional Boards' Readiness to Address AI-Transforming Fear into ValueChapter 26 Discussing AI in the BoardroomNotesIndexAbout the Authors
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.

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