Competing in the Age of AI
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 organ...
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| Format: | eBook |
| Language: | English |
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Ascent Audio
2020
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| Edition: | 1st edition |
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| Online Access: | |
| Collection: | O'Reilly - Collection details see MPG.ReNa |
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| 100 | 1 | |a Iansiti, Marco | |
| 245 | 0 | 0 | |a Competing in the Age of AI |c Iansiti, Marco |
| 250 | |a 1st edition | ||
| 260 | |b Ascent Audio |c 2020 | ||
| 300 | |a 34698 pages | ||
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| 700 | 1 | |a Lakhani, Karim |e author | |
| 700 | 1 | |a Cohen, Steven |e narrator | |
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| 520 | |a 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 | ||