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Prediction Machines

Prediction Machines
예측기계
저   자 | Ajay Agrawal 외
출판사 | Harvard Business Review Press
출판일 | 2018년 04월
가   격 | $30.00 (272 Pages)

책소개

"What does AI mean for your business? Read this book to find out." -- Hal Varian, Chief Economist, Google

저자소개

Joshua Gans is a Professor of Strategic Management and holder of the Jeffrey S. Skoll Chair of Technical Innovation and Entrepreneurship at the Rotman School of Management, University of Toronto (with a cross appointment in the Department of Economics). Prior to 2011, he was the foundation Professor of Management (Information Economics) at the Melbourne Business School, University of Melbourne and prior to that he was at the School of Economics, University of New South Wales. In 2011, Joshua was a visiting researcher at Microsoft Research (New England). Joshua holds a Ph.D. from Stanford University and an honors degree in economics from the University of Queensland. In 2012, Joshua was appointed as a Research Associate of the NBER in the Productivity, Innovation and Entrepreneurship Program.

책의특징

차례

책미리보기

"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.

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