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

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ISBN: 9781633695689 | 272 pages | 7 Mb

• Prediction Machines: The Simple Economics of Artificial Intelligence
• Ajay Agrawal, Joshua Gans, Avi Goldfarb
• Page: 272
• Format: pdf, ePub, fb2, mobi
• ISBN: 9781633695689
• Publisher: Harvard Business Review Press

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Prediction Machines: The Simple Economics of Artificial Intelligence by Ajay Agrawal, Joshua Gans, Avi Goldfarb "What does AI mean for your business? Read this book to find out." -- Hal Varian, Chief Economist, Google 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.

Prediction Machines: The Simple Economics of Artificial Intelligence
Abstract: Recent excitement in artificial intelligence has been driven by advances in machine learning. In this sense, AI is a prediction technology. It uses data you have to fill in information you don't have. These advances can be seen as a drop in the cost of prediction. The framing generates some powerful, but  Prediction Machines : The Simple Economics of Artificial Intelligence
The real job of artificial intelligence, argue these three eminent economists, is to lower the cost of prediction. And once you start talking about costs, you can use some well-established economics to cut through the hype. The constant challenge for all managers is to make decisions under uncertainty. And AI contributes by  Booktopia - Prediction Machines, The Simple Economics of Artificial
Booktopia has Prediction Machines, The Simple Economics of ArtificialIntelligence by Ajay Agrawal. Buy a discounted Hardcover of Prediction Machines online from Australia's leading online bookstore. Prediction Machines: The Simple Economics of Artificial Intelligence
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Prediction Machines: The Simple Economics of Artificial Intelligence · Technology & Operations Book. Ajay Agrawal; Joshua Gans; Avi Goldfarb. 30.00. Add to cart. "What does AI mean for your business? Read this book to find out." -- Hal Varian, Chief Economist, Google. Artificial intelligence does the seemingly. hilliard t goldfarb in books | chapters.indigo.ca
Results 1 - 24 of 794 Prediction Machines: The Simple Economics of Artificial Intelligence. by Ajay Agrawal. Hardcover. |This title releases April 17, 2018. $34.76 online. $38.99. save 10%. Pre-order online. Not yet available in stores. pre-order. "What does AI mean for your business? Read this book to find out." -- Hal Varian  Prediction Machines: The Simple Economics of Artificial Intelligence
Product Identifiers. ISBN-10, 1633695670. ISBN-13, 9781633695672. Key Details. Author, Ajay Agrawal, Avi Goldfarb, Joshua Gans. Number Of Pages, 256 pages. Format, Hardcover. Publication Date, 2018-04-17. Language, English. Publisher, Harvard Business Review Press. Publication Year, 2018. Additional Details.

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