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Ebook About
"a provocative new book" — The New York TimesAI-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 modelsExplain 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 modelsExplain the opportunities and risks created by digital firmsDescribe the new challenges and responsibilities for the leaders of both digital and traditional firmsPacked 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.

Book Competing in the Age of AI: Strategy and Leadership When Algorithms and Networks Run the World Review :

At first, I regretted buying this book. The fact that it's written by two authors rather than one should have tipped me off. For anyone like me, who regularly reads current business magazines and books, this book at first seemed to have little that is new.But after wading through the first couple of chapters of same old, same old, I did start finding many interesting and useful insights, some profound.
This book gives a very interesting big picture perspective on AI and machine learning in organizations. The authors are trying to provide a satisfactory framework for understanding the digital transformation that is occurring worldwide. I found they really cut through a lot of the fog and hype surrounding this topic. It is extremely easy to exaggerate what we are seeing, but as the authors point out, there is something like an "exponential process" engaging here. They give some balanced pictures on what all this means, and try to expose both the challenges and opportunities. Obviously, the tech revolution, even the weak AI we are seeing, is proving to be in some ways, a process that, as the authors discuss, scales with marginal cost and increased complexity of practically zero. This they contrast well to the situation of the traditional firm, even highly successful tech companies. The path, they suggest, to the new digital world is in some ways to the "top of the food chain" in the world economic ecosystem. The obstacles to growth to that stage, to the mature "T Rex", say, are significant, and this new entry, when more than a juvenile in the ecosystem, is in itself, substantially poised to alter much. I was much helped, in particular, in reading this book, by the discussion of network connections, and hubs. But I think the authors display a level of insight that goes quite a bit beyond that tool. I recommend this book very strongly for its truly excellent perspective, in an environment which is subject to significant distortions and misinformation. It seems to be giving a fairly realistic picture about what the next twenty or thirty years entail, and the rather large uncertainties, while maintaining overall a fairly positive outlook.

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