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Prediction Machines: The Simple Economics of Artificial Intelligence. Ajay Agrawal, Joshua Gans, Avi Goldfarb
Prediction-Machines-The-Simple.pdf
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
Google download book Prediction Machines: The Simple Economics of Artificial Intelligence (English Edition)
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
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Rotman: Ajay Agrawal, Joshua Gans & Avi Goldfarb on “Prediction
Rotman: Ajay Agrawal, Joshua Gans & Avi Goldfarb on “Prediction Machines:The Simple Economics of Artificial Intelligence”. Loading Events. All Events › Rotman: Ajay Agrawal, Joshua Gans & Avi Goldfarb on “Prediction Machines:The Simple Economics of Artificial Intelligence”. This event has passed.
Artificial Intelligence — Ajay Agrawal
In this short video interview with McKinsey & Company, Professor Agrawal explains what cheaper, more accurate, A.I. prediction means for human judgement. Professor Agrawal conducts research on the economics of artificialintelligence. He describes the Simple Economics of Machine Intelligence in the Harvard Business
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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Prediction Machines: The Simple Economics of Artificial Intelligence
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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
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