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Prediction Machines: The Simple Economics of Artificial Intelligence

Ajay Agrawal, Avi Goldfarb, Joshua Gans

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Prediction Machines: The Simple Economics of Artificial Intelligence

by Ajay Agrawal, Avi Goldfarb, Joshua Gans
Prediction Machines: The Simple Economics of Artificial Intelligence
Prediction Machines: The Simple Economics of Artificial Intelligence

Demystifying AI: Strategic insights for the future.

If artificial intelligence seems like a complex maze to you, "Prediction Machines" might just serve as your compass. The authors, established economists, skillfully translate AI into a concept you encounter daily: prediction. It's a read that sidesteps the sensationalism and focuses on pragmatic insights, helping you understand how AI can be leveraged in business strategies and decision-making. Whether you're a CEO, a policymaker, or just curious about the future, this book presents a grounded take on how to approach the AI revolution with clarity and confidence.

Note: While we do our best to ensure the accuracy of cover images, ISBNs may at times be reused for different editions of the same title which may hence appear as a different cover.

Prediction Machines: The Simple Economics of Artificial Intelligence

by Ajay Agrawal, Avi Goldfarb, Joshua Gans
Condition guide

Book Condition Guide

Books in Like New Condition

This book may contain very minor cosmetic defects, but it is in pristine condition. There should be no yellowing, no foxing, no water damage, and no annotations of any kind on the cover and the pages. For paperbacks, there should not be any crease marks on the spine. This book is good as new — lucky you!

*Books may be missing bundle media (e.g. CD, e-book code), if included.

Books in Very Good Condition

This book has been used, but it is still in a clean condition. There should be no foxing or annotations of any kind on the inner pages, but a sparse amount may be present on the cover, title pages, or outside edges of the book. There should be no water damage of any kind. For paperbacks, there may be light crease marks on the spine.

*Books may be missing bundle media (e.g. CD, e-book code), if included.

Books in Good Condition

We do our best to ensure the quality of our books, but there is no escaping the wear and tear that comes with time. Slight foxing and some annotations may be present on the pages and the cover. There should be no water damage of any kind. For paperbacks, there may be several crease marks on the spine.

*Books may be missing bundle media (e.g. CD, e-book code), if included.

Books in Well Read Condition

This is a well-read book, which means that the previous owner probably really enjoyed it! The cover and pages may include moderate foxing and annotations, but the text is not obscured and still readable. Moderate cosmetic defects and minor water damage may be present on the edges of the book. For paperbacks, there may be multiple crease marks on the spine.

*Books may be missing bundle media (e.g. CD, e-book code), if included.

 

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ISBN: 9781633695672
Authors: Ajay Agrawal, Avi Goldfarb, Joshua Gans
Publisher: Harvard Business Review Press
Date of Publication: 2018-04-17
Format: Hardcover
Related Collections: Business, Economics, Science
Related Topics: Finance, Technology, Finance, Popular Science
Goodreads rating: 3.87
(rated by 3754 readers)
 

Demystifying AI: Strategic insights for the future.

If artificial intelligence seems like a complex maze to you, "Prediction Machines" might just serve as your compass. The authors, established economists, skillfully translate AI into a concept you encounter daily: prediction. It's a read that sidesteps the sensationalism and focuses on pragmatic insights, helping you understand how AI can be leveraged in business strategies and decision-making. Whether you're a CEO, a policymaker, or just curious about the future, this book presents a grounded take on how to approach the AI revolution with clarity and confidence.

Note: While we do our best to ensure the accuracy of cover images, ISBNs may at times be reused for different editions of the same title which may hence appear as a different cover.

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