Sprache: Englisch
Verlag: Harvard Business Review Press, 2020
ISBN 10: 1633697622 ISBN 13: 9781633697621
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Sprache: Englisch
Verlag: Harvard Business Review Press, 2020
ISBN 10: 1633697622 ISBN 13: 9781633697621
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Sprache: Englisch
Verlag: Harvard Business Review Press, 2020
ISBN 10: 1633697622 ISBN 13: 9781633697621
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Sprache: Englisch
Verlag: Harvard Business Review Press, 2020
ISBN 10: 1633697622 ISBN 13: 9781633697621
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Sprache: Englisch
Verlag: Harvard Business Review Press, 2020
ISBN 10: 1633697622 ISBN 13: 9781633697621
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Sprache: Englisch
Verlag: Harvard Business Review Press, 2020
ISBN 10: 1633697622 ISBN 13: 9781633697621
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Sprache: Englisch
Verlag: Harvard Business Review Press, 2020
ISBN 10: 1633697622 ISBN 13: 9781633697621
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Sprache: Englisch
Verlag: Harvard Business Review Press, 2020
ISBN 10: 1633697622 ISBN 13: 9781633697621
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Sprache: Englisch
Verlag: Harvard Business Review Press, 2020
ISBN 10: 1633697622 ISBN 13: 9781633697621
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Sprache: Englisch
Verlag: Harvard Business Review Press, 2020
ISBN 10: 1633697622 ISBN 13: 9781633697621
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Sprache: Englisch
Verlag: Harvard Business Review Press, 2020
ISBN 10: 1633697622 ISBN 13: 9781633697621
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Sprache: Englisch
Verlag: Harvard Business Review Press, 2020
ISBN 10: 1633697622 ISBN 13: 9781633697621
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Sprache: Englisch
Verlag: Harvard Business Review Press, 2020
ISBN 10: 1633697622 ISBN 13: 9781633697621
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Sprache: Englisch
Verlag: Harvard Business Review Press, 2020
ISBN 10: 1633697622 ISBN 13: 9781633697621
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Sprache: Englisch
Verlag: Harvard Business Review Press, 2020
ISBN 10: 1633697622 ISBN 13: 9781633697621
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Sprache: Englisch
Verlag: Harvard Business Review Press, 2020
ISBN 10: 1633697622 ISBN 13: 9781633697621
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Sprache: Englisch
Verlag: Harvard Business Review Press, 2020
ISBN 10: 1633697622 ISBN 13: 9781633697621
Anbieter: GreatBookPrices, Columbia, MD, USA
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Sprache: Englisch
Verlag: Harvard Business Review Press, 2020
ISBN 10: 1633697622 ISBN 13: 9781633697621
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hardcover. Zustand: New.
Sprache: Englisch
Verlag: Harvard Business Review Press, 2020
ISBN 10: 1633697622 ISBN 13: 9781633697621
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Sprache: Englisch
Verlag: Harvard Business Review Press, 2020
ISBN 10: 1633697622 ISBN 13: 9781633697621
Anbieter: Lucky's Textbooks, Dallas, TX, USA
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Sprache: Englisch
Verlag: Harvard Business Review Press, 2020
ISBN 10: 1633697622 ISBN 13: 9781633697621
Anbieter: California Books, Miami, FL, USA
Zustand: New.
Sprache: Englisch
Verlag: Harvard Business Review Press, US, 2020
ISBN 10: 1633697622 ISBN 13: 9781633697621
Anbieter: Rarewaves USA, OSWEGO, IL, USA
Hardback. Zustand: New. "a provocative new book" -- The New York TimesAI-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 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.
Sprache: Englisch
Verlag: Harvard Business Review Press, 2020
ISBN 10: 1633697622 ISBN 13: 9781633697621
Anbieter: Grand Eagle Retail, Bensenville, IL, USA
Hardcover. Zustand: new. Hardcover. AI-centric organisations 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 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:A framework for rethinking business and operating modelsHow '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. AI-centric organisations exhibit a new operating architecture, redefining how they create, capture, share, and deliver value. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Sprache: Englisch
Verlag: Ingram Publisher Services, 2020
ISBN 10: 1633697622 ISBN 13: 9781633697621
Anbieter: PBShop.store US, Wood Dale, IL, USA
HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
Sprache: Englisch
Verlag: Ingram Publisher Services, 2020
ISBN 10: 1633697622 ISBN 13: 9781633697621
Anbieter: PBShop.store UK, Fairford, GLOS, Vereinigtes Königreich
EUR 27,72
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In den WarenkorbHRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
Sprache: Englisch
Verlag: Harvard Business Review Press, 2020
ISBN 10: 1633697622 ISBN 13: 9781633697621
Anbieter: World of Books (was SecondSale), Montgomery, IL, USA
Zustand: Very Good. Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc.
Sprache: Englisch
Verlag: Harvard Business Review Press, 2020
ISBN 10: 1633697622 ISBN 13: 9781633697621
Anbieter: World of Books (was SecondSale), Montgomery, IL, USA
Zustand: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.
Sprache: Englisch
Verlag: Harvard Business Review Press, US, 2020
ISBN 10: 1633697622 ISBN 13: 9781633697621
Anbieter: Rarewaves.com USA, London, LONDO, Vereinigtes Königreich
EUR 36,02
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In den WarenkorbHardback. Zustand: New. "a provocative new book" -- The New York TimesAI-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 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.
Sprache: Englisch
Verlag: Harvard Business Review Press, 2020
ISBN 10: 1633697622 ISBN 13: 9781633697621
Anbieter: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irland
Zustand: New. 2020. hardcover. . . . . .
Sprache: Englisch
Verlag: Harvard Business Review Press, 2020
ISBN 10: 1633697622 ISBN 13: 9781633697621
Anbieter: Kennys Bookstore, Olney, MD, USA
Zustand: New. 2020. hardcover. . . . . . Books ship from the US and Ireland.