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

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Published
Harvard Business Review Press, 2022.
Format
eBook
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Available Online

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Language
English
ISBN
9781647824686

Syndetics Unbound

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APA Citation, 7th Edition (style guide)

Ajay Agrawal., Ajay Agrawal|AUTHOR., Joshua Gans|AUTHOR., & Avi Goldfarb|AUTHOR. (2022). 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.. 2022. 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, 2022.

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, 2022.

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 Update2023-08-15 21:00:35PM
Last Indexed2024-03-29 04:26:44AM

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Image Sourcehoopla
First LoadedFeb 22, 2023
Last UsedMar 22, 2024

Hoopla Extract Information

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    [synopsis] => Named one of "The five best books to understand AI" by The Economist
The 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.
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