by Marco Iansiti and Karim R. Lakhani | January 7, 2020 | Business & Money
"a provocative new book" -- The New York Times
AI-centric organizations exhibit a new operating architecture, redefining how they create, capture, share, and deliver value.
Marco Iansiti and Karim R. Lakhani show how reinventing the firm around data, analytics, and AI removes traditional constraints on scale, scope, and learning that have restricted business growth for hundred...
"a provocative new book" -- The New York Times
AI-centric organizations exhibit a new operating architecture, redefining how they create, capture, share, and deliver value.
Marco Iansiti and Karim R. Lakhani show how reinventing the firm around data, analytics, and AI removes traditional constraints on scale, scope, and learning that have restricted business growth for hundreds of years. From Airbnb to Ant Financial, Microsoft to Amazon, research shows how AI-driven processes are vastly more scalable than traditional processes, allow massive scope increase, enabling companies to straddle industry boundaries, and create powerful opportunities for learning--to drive ever more accurate, complex, and sophisticated predictions.
When traditional operating constraints are removed, strategy becomes a whole new game, one whose rules and likely outcomes this book will make clear. Iansiti and Lakhani:
Present a framework for rethinking business and operating models
Explain how "collisions" between AI-driven/digital and traditional/analog firms are reshaping competition, altering the structure of our economy, and forcing traditional companies to rearchitect their operating models
Explain the opportunities and risks created by digital firms
Describe the new challenges and responsibilities for the leaders of both digital and traditional firms
Packed with examples--including many from the most powerful and innovative global, AI-driven competitors--and based on research in hundreds of firms across many sectors, this is your essential guide for rethinking how your firm competes and operates in the era of AI.
ISBN #
1633697622
Page count
288 pages
Publication Date
January 7, 2020
Publisher
Harvard Business Review Press
Category
Non-Fiction
Genre
Amazon Star Rating
4.6
Amazon Ratings Count
535 ratings
Amazon Last Rating Data Date
August 16, 2021
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