Hardcover, 288 pages, published February 2020. AI-centric organisations exhibit a new operating architecture, redefining how they create, capture, share, and deliver value. 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.
Hardcover, 288 pages, published February 2020. AI-centric organisations exhibit a new operating architecture, redefining how they create, capture, share, and deliver value. 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.
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Hardcover, 288 pages, published February 2020. AI-centric organisations exhibit a new operating architecture, redefining how they create, capture, share, and deliver value. 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.
Hardcover, 288 pages, published February 2020. AI-centric organisations exhibit a new operating architecture, redefining how they create, capture, share, and deliver value. 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.
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| Imprint | Harvard Business Review Press |
| Pub date | 07 Jan 2020 |
| DEWEY | 658.0563 |
| DEWEY edition | 23 |
| Language | English |
Updated about 3 hours ago
See 13 more history offers
| Imprint | Harvard Business Review Press |
| Pub date | 07 Jan 2020 |
| DEWEY | 658.0563 |
| DEWEY edition | 23 |
| Language | English |
