Couverture de Competing in the Age of AI

Competing in the Age of AI

Strategy and Leadership When Algorithms and Networks Run the World

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Competing in the Age of AI

De : Marco Iansiti, Karim R. Lakhani
Lu par : Steven Jay Cohen
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In industry after industry, data, analytics, and AI-driven processes are transforming the nature of work. While we often still treat AI as the domain of a specific skill, business function, or sector, we have entered a new era in which AI is challenging the very concept of the firm. 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 constrained 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, drive massive scope increase, enabling companies to straddle industry boundaries, and enable 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.

PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.

©2020 Harvard Business School Publishing Corporation (P)2020 Gildan Media
Direction Management Management et direction Prévision et planification stratégique
Tout
Le plus pertinent
Nothing new
More about digital than AI
Case study very shallow
Quite disappointing for such an hyped book

Same old

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Un livre qui introduit au algo, un bon livre à lire, le livre est intéressant à lire pour ceux qui s'intéressent au algorithm.

Great

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There is no way you will learn about AI in a context of strategy. Consider this book as an extension of Enterprise Architecture like collection. It based It's assumption on concepts coming from no where no research nor insight and just comment the news about GAFAMs. It hated the sophism used by the authors to gain credibility using boards of unknown companies and a very lame link to Harvard because we did not see any actual research lead by the school on the domain pressed in the book. You can sum this book up in Network effect badly explains by two academics and how machine learning can feed network effect. What this have to do with AI Strategy? Yet another Ivy league teach trying to surf the Tonny Robbins era...

This book is everything but what the title claims

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