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Prediction Machines: The Simple Economics of Artificial ~ Prediction Machines: The Simple Economics of Artificial Intelligence Ajay Agrawal , Joshua Gans , Avi Goldfarb Harvard Business Press , Apr 17, 2018 - Computers - 272 pages

Book review: Prediction Machines: The Simple Economics of ~ Does Prediction Machines deliver on its subtitle (The Simple Economics of Artificial Intelligence)? The short answer is “yes,” as the microeconomics of AI is on display throughout the book. The authors almost exclusively reference other economists’ work throughout the book—but from the start, they were clear on their disciplinary perspective.

Prediction Machines: The Simple Economics of Artificial ~ "Prediction Machines: The Simple Economics of Artificial Intelligence by Ajay Agrawal, Joshua Gans and Avi Goldfarb. This 2018 book…on the timely topic of AI - tops my summer reading list. The authors…offer a compelling framework for mapping out the likely impact of AI on economies in the decades ahead.

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Prediction Machines: The Simple Economics of Artificial ~ At the heart of the book is the concept that AI/ML is a "prediction machine" that is dramatically lowering the cost of making predictions, which will lead to making it cheaper Steeped in both economics and AI/ML, this book steers clear of hype (or anti-hype), applying standard economic concepts to a rapidly emerging phenomenon.

Presentations — Prediction Machines ~ Joshua Gans discusses Nick Bostrom's book: Superintelligence at the Creative Destruction Lab Machine Learning conference (Toronto, December 2015). Joshua Gans on "Prediction Machines: The Simple Economics of Artificial Intelligence" (HBR Press, 2018

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Prediction Machines [Book] - O’Reilly Online Learning ~ 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.

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Prediction Machines The Simple Economics Of Artificial ~ Professor Agrawal is a co-author of the best-selling book "Prediction Machines: The Simple Economics of Artificial Intelligence."The book was named one of the top ten technology books of 2018 by Forbes and reviewed or cited in The New York Times, The Economist, Financial Times, Wall Street Journal, McKinsey Quarterly, Forbes, Bloomberg, Globe and Mail, Hindustan Times, The Irish Times, Fortune .

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The Simple Economics of Machine Intelligence ~ He is the author of The Disruption Dilemma (MIT Press, March 2016) and a co-author of Prediction Machines: The Simple Economics of Artificial Intelligence (Harvard Business Review Press, April 2018).

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Prediction Machines Book — Professor Ajay Agrawal ~ 'Prediction Machines - The Simple Economics of Artificial Intelligence', co-authored by Professors Ajay Agrawal, Joshua Gans, and Avi Goldfarb, is a critically acclaimed best-selling book about the current and future economic impact of artificial intelligence. It was released on April 17, 201