Prediction Machines The Simple Economics of Artificial Intelligence

Prediction Machines

Prediction Machines: The Simple Economics of Artificial Intelligence is an extremely knowledgeable book for those who need to be connected to advancements in the technology, which in fact is also the need of the hour for everyone. Prediction Machines is the joint effort os the three co-founders of AI. It Predicts the future of AI and its impact on its users. Have this book, read to know more about advancements in technology and its benefits to mankind. Direct link to buy this book is provided below for your convenience.

Product Description

Book Name: Prediction Machines The Simple Economics of Artificial Intelligence 

Author Name: Ajay Agrawal

“What does artificial intelligence mean in business? What can it do for you? Read this book Prediction Machines 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 other side of the coin 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 quail 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. They show how basic tools from economics provide clarity about the AI revolution and a basis for action by CEOs, managers, policymakers, investors, and entrepreneurs.

When AI is framed as a cheap prediction, its extraordinary potential becomes clear which are:

  • 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 skeleton for understanding it is surprisingly manageable.

About the Authors Of This Book

Ajay Agrawal is Professor of Strategic Management and Peter Munk Professor of Entrepreneurship at the University of Toronto’s Rotman School of Management. He is also co-founder of The Next 36 and Next AI, co-founder of the AI/robotics company Kindred, and founder of the Creative Destruction Lab. Joshua also writes regularly at several blogs including Digitopoly.

Joshua Gans is Professor of Strategic Management and the holder of the Jeffrey S. Skoll Chair of Technical Innovation and Entrepreneurship at Toronto’s Rotman School of Management.

Avi Goldfarb is the Ellison Professor of Marketing at Toronto’s Rotman School of Management, University of Toronto. Avi is also Chief Data Scientist at the Creative Destruction Lab, Senior Editor at Marketing Science, a Fellow at Behavioral Economics in Action at Rotman.

Prediction Machines is written with the joint efforts of the three.

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Prediction Machines: The Simple Economics of Artificial Intelligence is a book written by three AI experts and co-founders of various fields of AI. Our website is meant to provide you the brief description of the latest books.  For your convenience a direct link to pre-order this book is provided here, click to order now Prediction Machines: The Simple Economics of Artificial Intelligence. We will notify you on the facebook about upload of the latest books by famous authors on this website so like us on facebook

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