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A01=John D. Wood
A01=Nada R. Sanders
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AI ethics enterprise
artificial intelligence
artificial intelligence human collaboration
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Author_Nada R. Sanders
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Category1=Non-Fiction
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collective decision making
collective superintelligence
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digital transformation management
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eq_business-finance-law
eq_computing
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Fourth Industrial Revolution
humachine
Kasparov's law
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organizational intelligence
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post-pandemic business strategy
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softlaunch
workforce augmentation

Product details

  • ISBN 9781032345680
  • Weight: 560g
  • Dimensions: 152 x 229mm
  • Publication Date: 11 Mar 2024
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
  • Language: English
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Updated for a post-Covid world, the second edition of this groundbreaking book explains why becoming a Humachine enterprise is the only way forward for a company to maintain a competitive advantage in the age of artificial intelligence (AI).

The first edition of The Humachine offered a foundation for a new form of enterprise, integrating AI technology and human resources to optimize the unique advantages possessed by each. Now, in the face of the ‘Great Resignation’ and ‘botsourcing’—where an activity previously done by humans is replaced by technology—thought leaders Sanders and Wood present a more positive and promising scenario, where an enterprise recognizes human resources as an asset class that possesses skills that cannot be replaced by automation. Enlightened business leaders will look to create synergy between technology and people, enabling the organization to maximize its capabilities by elevating the basis of decision making with closer-to-perfect information and rationality. This book provides a roadmap for how to do this and achieve collective intelligence at the enterprise level: superintelligence. More specifically, it answers these questions, and more.

  • Why must an enterprise achieve superintelligence as a competitive advantage in the age of AI?
  • How can any organization achieve superintelligence by following the 4-I model?
  • What is the step-by-step process an enterprise should follow in becoming a Humachine?
  • What strategies can be used by enterprise leaders to ‘futureproof’ the Humachine against uncertainty?

All business leaders, executives, and managers at companies wanting to use AI and technology to survive and thrive in this new age, and students of analytics and decision-making, will value this thought-provoking and practical book, rich with case studies.

Nada R. Sanders, PhD, is Distinguished Professor at D’Amore-McKim School of Business at Northeastern University. Her expertise is in forecasting and global supply chain intelligence. She is a recipient of numerous research and teaching awards, was ranked as World’s Top 2% of Scientists by a Stanford study, has authored seven books and over a hundred top tier scholarly publications. She is a frequently called upon keynote speaker and expert.

John D. Wood, Esq., is an attorney, author, educator, entrepreneur, philanthropist and producer. John earned his juris doctorate from New York University School of Law and degrees in English and Philosophy, summa cum laude, from Texas Christian University. He is a member of American Mensa and partner at the law firm of Green Klein Wood & Jones.

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