Image of Computing in the age of ai: strategy and leadership when algorithms and networks run the world


Computing in the age of ai: strategy and leadership when algorithms and networks run the world


1. The age of AI
2. Rethinking the firm
3. The AI factory
4. Reachitecting the firm
5. Becoming an AI company
6. Strategy for a new age
7. Strategic collisions
8. The ethics of digital scale, scope, and learning
9. The new meta
10. A leadership mandate


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.


210070658.056 3 IAN cMy LibraryAvailable

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Call Number
658.056 3 IAN c
Publisher Harvard Business Review Press : USA.,
267 hlm.; 24 cm
658.056 3
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