Power and prediction : the disruptive economics of artificial intelligence
(Book)
Author
Contributors
Published
Boston, Massachusetts : Harvard Business Review Press, [2022].
Status
Nederland Community Library - NONFICTION
006.33 Agrawal
1 available
006.33 Agrawal
1 available
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Nederland Community Library - NONFICTION | 006.33 Agrawal | On Shelf |
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More Details
Published
Boston, Massachusetts : Harvard Business Review Press, [2022].
Format
Book
Physical Desc
268 pages ; 25 cm
Language
English
Notes
General Note
Includes index.
Description
"Banking and finance, pharmaceuticals, automotive, medical technology, retail. Artificial intelligence (AI) has made its way into many industries around the world. But the truth is, it has just begun its odyssey toward cheaper, better, and faster predictions to drive strategic business decisions-powering and accelerating business. When prediction is taken to the max, industries transform. The disruption that comes with such transformation is yet to be felt-but it is coming. How do businesses prepare? In their bestselling first book, Prediction Machines, eminent economists Ajay Agrawal, Joshua Gans, and Avi Goldfarb explained the simple yet game-changing economics of AI. Now, in Power and Prediction, they go further to reveal AI as a prediction technology directly impacting decision-making and to teach businesses how to identify disruptive opportunities and threats resulting from AI. Their exhaustive study of new developments in artificial intelligence and the past history of how technologies have disrupted industries highlights the striking phase we are now in: after witnessing the power of this new technology and before its widespread adoption-what they call "the Between Times." While there continue to be important opportunities for businesses, there are also threats of disruption. As prediction machines improve, old ways of doing things will be upended. Also, the process by which AI filters into the many systems involved in application is very uneven. That process will have winners and losers. How can businesses leverage, or protect, their positions? Filled with illuminating insights, rich examples, and practical advice, Power and Prediction is the must-read guide for any business leader or policy maker on how to make the coming AI disruptions work for you rather than against you"--,Provided by publisher.
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Citations
APA Citation, 7th Edition (style guide)
Agrawal, A., Gans, J., & Goldfarb, A. (2022). Power and prediction: the disruptive economics of artificial intelligence . Harvard Business Review Press.
Chicago / Turabian - Author Date Citation, 17th Edition (style guide)Agrawal, Ajay, Joshua Gans and Avi, Goldfarb. 2022. Power and Prediction: The Disruptive Economics of Artificial Intelligence. Harvard Business Review Press.
Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)Agrawal, Ajay, Joshua Gans and Avi, Goldfarb. Power and Prediction: The Disruptive Economics of Artificial Intelligence Harvard Business Review Press, 2022.
MLA Citation, 9th Edition (style guide)Agrawal, Ajay,, Joshua Gans, and Avi Goldfarb. Power and Prediction: The Disruptive 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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