Artificial Intelligence Imperative: A Practical Roadmap for Business

Praeger (Verlag)
  • erschienen am 12. April 2018
  • |
  • 215 Seiten
E-Book | ePUB mit Adobe DRM | Systemvoraussetzungen
978-1-4408-5995-3 (ISBN)
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.
  • Englisch
  • Santa Barbara
  • |
  • USA
978-1-4408-5995-3 (9781440859953)
1-4408-5995-7 (1440859957)
weitere Ausgaben werden ermittelt
  • Cover page
  • Praise page
  • Halftitle page
  • Title page
  • Copyright page
  • Dedication
  • Epigraph
  • Contents
  • Foreword
  • Acknowledgments
  • Introduction
  • PART 1 The Past, Present, and Future of AI
  • chapter one A Brief History of AI
  • chapter two AI Social-Science Concepts
  • chapter three Key Cognitive and Machine Learning Approaches
  • chapter four AI Technologies: From Computer Vision to Drones
  • chapter five AI and Blockchain, IoT, Cybersecurity, and Quantum Computing
  • PART 2 Enablers and Preconditions to Achieve AI
  • chapter six Data
  • chapter seven Algorithms
  • chapter eight Hardware
  • chapter nine Openness
  • PART 3 The Race for AIDominance-From Full-Stack Companies to "AI-as-a-Service"
  • chapter ten AI Crossplay-Academia and the Private Sector
  • chapter eleven The Geopolitics of AI-China vs. USA
  • chapter twelve Full-Stack Companies-The Battle of the Giants
  • chapter thirteen Product-and Domain-Focused ML Companies
  • chapter fourteen Traditional and New Enterprise Companies Focused on ML
  • chapter fifteen Introducing AI into a Traditional Business
  • PART 4 AI in Different Sectors-From Cars to Military Robots
  • chapter sixteen AI and the Automotive Industry
  • chapter seventeen AI in Health Care
  • chapter eighteen AI and the Financial Sector
  • chapter nineteen AI in Natural Resources and Utilities
  • chapter twenty AI in Other Business Sectors
  • chapter twenty-one AI in Government and the Military
  • PART 5 The Socio-Politics of AI-Critical Issues
  • chapter twenty-two Data-Control, AI, and Societies
  • chapter twenty-three The Future of Employment and the Pursuit of Life-Long Learning
  • chapter twenty-four Ethical Design and Social Governance
  • PART 6 The Governance of AI-A Practical Roadmap for Business
  • chapter twenty-five Traditional Boards' Readiness to Address AI-Transforming Fear into Value
  • chapter twenty-six Discussing AI in the Boardroom
  • Notes
  • Index

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