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

Prediction Machines: The Simple Economics of Artificial Intelligence


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ISBN: 9781633695689 | 272 pages | 7 Mb
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  • 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
By @SimonCocking, review of PREDICTION MACHINES The Simple Economicsof Artificial Intelligence by Ajay Agrawal, Joshua Gans and Avi Goldfarb. The idea of artificial intelligence (AI) – job-killing robots, self-driving cars, and self- managing organizations – captures the imagination, evoking a  Prediction Machines: The Simple Economics of Artificial Intelligence
The NOOK Book (eBook) of the Prediction Machines: The Simple Economics ofArtificial Intelligence by Ajay Agrawal, Joshua Gans, Avi Goldfarb | at Barnes. Prediction Machines – Digitopoly
My book with Ajay Agrawal and Avi Goldfarb is out now. It is called PredictionMachines: The Simple Economics of Artificial Intelligence. We have written some pieces that provide little excursions into the book. "A Simple Tool to Start Making Decisions with AI," HBR Online, 17 April 2018. "Make sure AI is  Prediction Machines: The Simple Economics of Artificial Intelligence
The Hardcover of the Prediction Machines: The Simple Economics of ArtificialIntelligence by Ajay Agrawal, Joshua Gans, Avi Goldfarb | at Barnes & Artificial Intelligence Is Here. Is It Time to Rethink - U of T Magazine
To get started on this “science-fiction” exercise, close your eyes, imagine putting your fingers on the dial of your prediction machine and, in the immortal words of Nigel Tufnel from Spinal Tap, turn it to 11. Excerpted from Prediction Machines:The Simple Economics of Artificial Intelligence, by Ajay Agrawal, Joshua Gans and  Prediction Machines: The Simple Economics of Artificial Intelligence
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