Includes bibliographical references and index.

Introduction -- The past, present and future of AI -- A brief history of AI -- Ai social-science concepts -- Key cognitive and machine learning approaches -- AI technologies : from computer vision to drones -- AI and blockchain, IOT, cybersecurity, and quantum computing -- Enablers and preconditions to achieve AI -- Data -- Algorithms -- Hardware -- Openness -- The race for AI dominance : from full-stack providers to "AI-as-a-service" companies -- AI crossplay : academia and the private sector -- The geopolitics of AI: China vs. USA -- Full-stack companies: the battle of the giants -- Product and domain-focused ML companies -- Traditional and new enterprise companies focused on ML -- Introducing AI into a traditional business -- AI in different sectors : from autos to military robots -- AI and the automotive industry -- AI in healthcare -- AI and the financial sector -- AI in natural resources and utilities -- AI in other business sectors -- AI in government and military -- The socio-politics of AI : critical issues -- Data-control, AI and societies -- The future of employment and the pursuit of life-long learning -- Ethical design and social governance -- The governance of AI : a practical roadmap for business -- Traditional boards? readiness to address AI : transforming fear into value -- Discussing AI in the boardroom -- Notes -- Index.