The Artificial Intelligence Imperative: A Practical Roadmap for Business, 1st Edition

  • Anastassia Lauterbach
  • Andrea Bonime-Blanc
  • Published By:
  • ISBN-10: 1440859957
  • ISBN-13: 9781440859953
  • DDC: 650.0285
  • 328 Pages | eBook
  • Original Copyright 2018 | Published/Released February 2019
  • This publication's content originally published in print form: 2018

  • Price:  Sign in for price



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 book explains where AI comes from, why it is a most powerful force in mergers and acquisitions and R&D, and what companies need to do to implement it successfully. It equips business leaders with a practical roadmap for competing and thriving in the coming AI revolution. The authors analyze competitive trends, provide industry and governance examples, and explain interactions between AI and other digital technologies. 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

Front Cover.
Half Title Page.
Title Page.
Copyright Page.
Other Frontmatter.
The Past, Present, and Future of AI.
1: A Brief History of AI.
2: AI Social-Science Concepts.
3: Key Cognitive and Machine Learning Approaches.
4: AI Technologies: From Computer Vision to Drones.
5: AI and Blockchain, IoT, Cybersecurity, and Quantum Computing.
Enablers and Preconditions to Achieve AI.
6: Data.
7: Algorithms.
8: Hardware.
9: Openness.
The Race for AI Dominance—From Full-Stack Companies to “AI-as-a-Service”.
10: AI Crossplay—Academia and the Private Sector.
11: The Geopolitics of AI—China vs. USA.
12: Full-Stack Companies—The Battle of the Giants.
13: Product- and Domain-Focused ML Companies.
14: Traditional and New Enterprise Companies Focused on ML.
15: Introducing AI into a Traditional Business.
AI in Different Sectors—From Cars to Military Robots.
16: AI and the Automotive Industry.
17: AI in Health Care.
18: AI and the Financial Sector.
19: AI in Natural Resources and Utilities.
20: AI in Other Business Sectors.
21: AI in Government and the Military.
The Socio-Politics of AI—Critical Issues.
22: Data-Control, AI, and Societies.
23: The Future of Employment and the Pursuit of Life-Long Learning.
24: Ethical Design and Social Governance.
The Governance of AI—A Practical Roadmap for Business.
25: Traditional Boards’ Readiness to Address AI—Transforming Fear into Value.
26: Discussing AI in the Boardroom.
About the Authors.