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Published by Harvard Business Review Press (edition Revised), 2022
ISBN 10: 1647824672 ISBN 13: 9781647824679
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Published by Harvard Business Review Press, 2022
ISBN 10: 1647824672 ISBN 13: 9781647824679
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Published by Harvard Business Review Press, 2022
ISBN 10: 1647824672 ISBN 13: 9781647824679
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Published by Harvard Business Review Press, 2022
ISBN 10: 1647824672 ISBN 13: 9781647824679
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Published by Harvard Business Review Press 11/15/2022, 2022
ISBN 10: 1647824672 ISBN 13: 9781647824679
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Hardback or Cased Book. Condition: New. Prediction Machines, Updated and Expanded: The Simple Economics of Artificial Intelligence. Book.
Language: English
Published by Harvard Business Review Press, 2022
ISBN 10: 1647824672 ISBN 13: 9781647824679
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Published by Harvard Business Review Press, US, 2022
ISBN 10: 1647824672 ISBN 13: 9781647824679
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Hardback. Condition: New. Named one of "The five best books to understand AI" by The EconomistThe impact AI will have is profound, but the economic framework for understanding it is surprisingly simple.Artificial intelligence seems to do the impossible, magically bringing machines to life-driving cars, trading stocks, and teaching children. But facing the sea change that AI brings can be paralyzing. How should companies set strategies, governments design policies, and people plan their lives for a world so different from what we know? In the face of such uncertainty, many either cower in fear or predict an impossibly sunny future.But in Prediction Machines, three eminent economists recast the rise of AI as a drop in the cost of prediction. With this masterful stroke, they lift the curtain on the AI-is-magic hype and provide economic clarity about the AI revolution as well as a basis for action by executives, policy makers, investors, and entrepreneurs.In this new, updated edition, the authors illustrate how, when AI is framed as cheap prediction, its extraordinary potential becomes clear:Prediction is at the heart of making decisions amid uncertainty. Our businesses and personal lives are riddled with such decisions.Prediction tools increase productivity-operating machines, handling documents, communicating with customers.Uncertainty constrains strategy. Better prediction creates opportunities for new business strategies to compete.The authors reset the context, describing the striking impact the book has had and how its argument and its implications are playing out in the real world. And in new material, they explain how prediction fits into decision-making processes and how foundational technologies such as quantum computing will impact business choices.Penetrating, insightful, and practical, Prediction Machines will help you navigate the changes on the horizon.
Language: English
Published by Harvard Business Review Press, US, 2022
ISBN 10: 1647824672 ISBN 13: 9781647824679
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Hardback. Condition: New. Named one of "The five best books to understand AI" by The EconomistThe impact AI will have is profound, but the economic framework for understanding it is surprisingly simple.Artificial intelligence seems to do the impossible, magically bringing machines to life-driving cars, trading stocks, and teaching children. But facing the sea change that AI brings can be paralyzing. How should companies set strategies, governments design policies, and people plan their lives for a world so different from what we know? In the face of such uncertainty, many either cower in fear or predict an impossibly sunny future.But in Prediction Machines, three eminent economists recast the rise of AI as a drop in the cost of prediction. With this masterful stroke, they lift the curtain on the AI-is-magic hype and provide economic clarity about the AI revolution as well as a basis for action by executives, policy makers, investors, and entrepreneurs.In this new, updated edition, the authors illustrate how, when AI is framed as cheap prediction, its extraordinary potential becomes clear:Prediction is at the heart of making decisions amid uncertainty. Our businesses and personal lives are riddled with such decisions.Prediction tools increase productivity-operating machines, handling documents, communicating with customers.Uncertainty constrains strategy. Better prediction creates opportunities for new business strategies to compete.The authors reset the context, describing the striking impact the book has had and how its argument and its implications are playing out in the real world. And in new material, they explain how prediction fits into decision-making processes and how foundational technologies such as quantum computing will impact business choices.Penetrating, insightful, and practical, Prediction Machines will help you navigate the changes on the horizon.
Language: English
Published by Harvard Business Review Press, 2022
ISBN 10: 1647824672 ISBN 13: 9781647824679
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Hardcover. Condition: new. Hardcover. Named one of 'The five best books to understand AI' by The EconomistThe impact AI will have is profound, but the economic framework for understanding it is surprisingly simple.Artificial intelligence seems to do the impossible, magically bringing machines to life - driving cars, trading stocks, and teaching children. But facing the sea change that AI brings can be paralysing. How should companies set strategies, governments design policies, and people plan their lives for a world so different from what we know? In the face of such uncertainty, many either cower in fear or predict an impossibly sunny future.But in Prediction Machines, three eminent economists recast the rise of AI as a drop in the cost of prediction. With this masterful stroke, they lift the curtain on the AI-is-magic hype and provide economic clarity about the AI revolution as well as a basis for action by executives, policy makers, investors, and entrepreneurs.In this new, updated edition, the authors illustrate how, when AI is framed as cheap prediction, its extraordinary potential becomes clear:Prediction is at the heart of making decisions amid uncertainty. Our businesses and personal lives are riddled with such decisions.Prediction tools increase productivity-operating machines, handling documents, communicating with customers.Uncertainty constrains strategy. Better prediction creates opportunities for new business strategies to compete.The authors reset the context, describing the striking impact the book has had and how its argument and its implications are playing out in the real world. And in new material, they explain how prediction fits into decision-making processes and how foundational technologies such as quantum computing will impact business choices.Penetrating, insightful, and practical, Prediction Machines will help you navigate the changes on the horizon. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Published by Harvard Business Review Press, 2022
ISBN 10: 1647824672 ISBN 13: 9781647824679
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Published by Harvard Business School Pr, 2022
ISBN 10: 1647824672 ISBN 13: 9781647824679
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Hardcover. Condition: Brand New. revised updated ex edition. 272 pages. 9.25x6.12x1.20 inches. In Stock.
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Published by Harvard Business Review Press, 2022
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Published by Harvard Business Review Press, 2022
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Published by Harvard Business Review Press, 2022
ISBN 10: 1647824672 ISBN 13: 9781647824679
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Hardcover. Condition: Brand New. revised updated ex edition. 272 pages. 9.25x6.12x1.20 inches. In Stock.
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Published by Harvard Business School Pr, 2022
ISBN 10: 1647824672 ISBN 13: 9781647824679
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Hardcover. Condition: Brand New. revised updated ex edition. 272 pages. 9.25x6.12x1.20 inches. In Stock.
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ISBN 10: 1647824672 ISBN 13: 9781647824679
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Published by Harvard Business Review Press, US, 2022
ISBN 10: 1647824672 ISBN 13: 9781647824679
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Hardback. Condition: New. Named one of "The five best books to understand AI" by The EconomistThe impact AI will have is profound, but the economic framework for understanding it is surprisingly simple.Artificial intelligence seems to do the impossible, magically bringing machines to life-driving cars, trading stocks, and teaching children. But facing the sea change that AI brings can be paralyzing. How should companies set strategies, governments design policies, and people plan their lives for a world so different from what we know? In the face of such uncertainty, many either cower in fear or predict an impossibly sunny future.But in Prediction Machines, three eminent economists recast the rise of AI as a drop in the cost of prediction. With this masterful stroke, they lift the curtain on the AI-is-magic hype and provide economic clarity about the AI revolution as well as a basis for action by executives, policy makers, investors, and entrepreneurs.In this new, updated edition, the authors illustrate how, when AI is framed as cheap prediction, its extraordinary potential becomes clear:Prediction is at the heart of making decisions amid uncertainty. Our businesses and personal lives are riddled with such decisions.Prediction tools increase productivity-operating machines, handling documents, communicating with customers.Uncertainty constrains strategy. Better prediction creates opportunities for new business strategies to compete.The authors reset the context, describing the striking impact the book has had and how its argument and its implications are playing out in the real world. And in new material, they explain how prediction fits into decision-making processes and how foundational technologies such as quantum computing will impact business choices.Penetrating, insightful, and practical, Prediction Machines will help you navigate the changes on the horizon.
Language: English
Published by Harvard Business Review Press, 2022
ISBN 10: 1647824672 ISBN 13: 9781647824679
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Published by Harvard Business Review Press, 2022
ISBN 10: 1647824672 ISBN 13: 9781647824679
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Hardcover. Condition: new. Hardcover. Named one of 'The five best books to understand AI' by The EconomistThe impact AI will have is profound, but the economic framework for understanding it is surprisingly simple.Artificial intelligence seems to do the impossible, magically bringing machines to life - driving cars, trading stocks, and teaching children. But facing the sea change that AI brings can be paralysing. How should companies set strategies, governments design policies, and people plan their lives for a world so different from what we know? In the face of such uncertainty, many either cower in fear or predict an impossibly sunny future.But in Prediction Machines, three eminent economists recast the rise of AI as a drop in the cost of prediction. With this masterful stroke, they lift the curtain on the AI-is-magic hype and provide economic clarity about the AI revolution as well as a basis for action by executives, policy makers, investors, and entrepreneurs.In this new, updated edition, the authors illustrate how, when AI is framed as cheap prediction, its extraordinary potential becomes clear:Prediction is at the heart of making decisions amid uncertainty. Our businesses and personal lives are riddled with such decisions.Prediction tools increase productivity-operating machines, handling documents, communicating with customers.Uncertainty constrains strategy. Better prediction creates opportunities for new business strategies to compete.The authors reset the context, describing the striking impact the book has had and how its argument and its implications are playing out in the real world. And in new material, they explain how prediction fits into decision-making processes and how foundational technologies such as quantum computing will impact business choices.Penetrating, insightful, and practical, Prediction Machines will help you navigate the changes on the horizon. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Language: English
Published by Harvard Business Review Press, 2022
ISBN 10: 1647824672 ISBN 13: 9781647824679
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Hardcover. Condition: new. Hardcover. Named one of 'The five best books to understand AI' by The EconomistThe impact AI will have is profound, but the economic framework for understanding it is surprisingly simple.Artificial intelligence seems to do the impossible, magically bringing machines to life - driving cars, trading stocks, and teaching children. But facing the sea change that AI brings can be paralysing. How should companies set strategies, governments design policies, and people plan their lives for a world so different from what we know? In the face of such uncertainty, many either cower in fear or predict an impossibly sunny future.But in Prediction Machines, three eminent economists recast the rise of AI as a drop in the cost of prediction. With this masterful stroke, they lift the curtain on the AI-is-magic hype and provide economic clarity about the AI revolution as well as a basis for action by executives, policy makers, investors, and entrepreneurs.In this new, updated edition, the authors illustrate how, when AI is framed as cheap prediction, its extraordinary potential becomes clear:Prediction is at the heart of making decisions amid uncertainty. Our businesses and personal lives are riddled with such decisions.Prediction tools increase productivity-operating machines, handling documents, communicating with customers.Uncertainty constrains strategy. Better prediction creates opportunities for new business strategies to compete.The authors reset the context, describing the striking impact the book has had and how its argument and its implications are playing out in the real world. And in new material, they explain how prediction fits into decision-making processes and how foundational technologies such as quantum computing will impact business choices.Penetrating, insightful, and practical, Prediction Machines will help you navigate the changes on the horizon. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Language: English
Published by Harvard Business Review Press, 2022
ISBN 10: 1647824672 ISBN 13: 9781647824679
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Condition: New. Named one of The five best books to understand AI by The EconomistThe impact AI will have is profound, but the economic framework for understanding it is surprisingly simple.Artificial intelligence seems to do the imp.