Prediction Machines: The Simple Economics of Artificial Intelligence
(eBook)

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Published
Harvard Business Review Press, 2018.
ISBN
9781633695689
Status
Available Online

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Format
eBook
Language
English

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APA Citation, 7th Edition (style guide)

Ajay Agrawal., Ajay Agrawal|AUTHOR., Joshua Gans|AUTHOR., & Avi Goldfarb|AUTHOR. (2018). Prediction Machines: The Simple Economics of Artificial Intelligence . Harvard Business Review Press.

Chicago / Turabian - Author Date Citation, 17th Edition (style guide)

Ajay Agrawal et al.. 2018. Prediction Machines: The Simple Economics of Artificial Intelligence. Harvard Business Review Press.

Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)

Ajay Agrawal et al.. Prediction Machines: The Simple Economics of Artificial Intelligence Harvard Business Review Press, 2018.

MLA Citation, 9th Edition (style guide)

Ajay Agrawal, Ajay Agrawal|AUTHOR, Joshua Gans|AUTHOR, and Avi Goldfarb|AUTHOR. Prediction Machines: The Simple Economics of Artificial Intelligence Harvard Business Review Press, 2018.

Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.

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Grouped Work IDc15b9ab9-add1-f1a9-2d66-eef1efec160a-eng
Full titleprediction machines the simple economics of artificial intelligence
Authoragrawal ajay
Grouping Categorybook
Last Update2024-04-16 23:10:03PM
Last Indexed2024-04-17 02:31:17AM

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First LoadedDec 9, 2021
Last UsedAug 24, 2022

Hoopla Extract Information

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    [synopsis] => Artificial intelligence does the seemingly impossible, magically bringing machines to life--driving cars, trading stocks, and teaching children. But facing the sea change that AI will bring 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 analysts 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 single, masterful stroke, they lift the curtain on the AI-is-magic hype and show how basic tools from economics provide clarity about the AI revolution and a basis for action by CEOs, managers, policy makers, investors, and entrepreneurs.

When AI is framed as cheap prediction, its extraordinary potential becomes clear:

Prediction is at the heart of making decisions under 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 structures and strategies to compete.

Penetrating, fun, and always insightful and practical, Prediction Machines follows its inescapable logic to explain how to navigate the changes on the horizon. The impact of AI will be profound, but the economic framework for understanding it is surprisingly simple.
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