Leseprobe
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Competing in the Age of AI
Marco Iansiti, Karim R. Lakhani
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Sozialwissenschaften, Recht, Wirtschaft / Einzelne Wirtschaftszweige, Branchen
Beschreibung
"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.
Now with a new preface that explores how the coronavirus crisis compelled organizations such as Massachusetts General Hospital, Verizon, and IKEA to transform themselves with remarkable speed, 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.
Kundenbewertungen
artificial intelligence, operations, competitive advantage, automation, networks, digital strategy, disruption, machine learning, technology, data privacy, value creation, leadership, strategy, future of work, business models, digital transformation, research, operating models, predictions, algorithms, digital infrastructure, data, organizational change, AI ethics, AI, data-driven decision making, analytics, strategic planning