Beschreibung Prediction Machines: The Simple Economics of Artificial Intelligence (English Edition). "What does AI mean for your business? Read this book to find out." -- Hal Varian, Chief Economist, GoogleArtificial 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 ~ Susan Athey, Stanford Professor and former Chief Economist at Microsoft “Prediction Machines is a must-read for business leaders, policymakers, economists, strategists, and anyone who wants to understand implications of AI on designing business strategies, decisions, and how AI will impact our society. Read this book and learn from the best!”
Prediction Machines: The Simple Economics of Artificial ~ Authors, the three economists from university of Toronto, do the great job of demystifing artificial intelligence by examining it through the lens of standard economic theory.but I'm recommends this to you only if you are a business leader, policy maker and try to understand about how artificial intelligence will shaping the world economy, then this book will helpful for you.
Prediction machines : the simple economics of artificial ~ The idea of artificial intelligence--job-killing robots, self-driving cars, and self-managing organizations--captures the imagination, evoking a combination of wonder and dread for those of us who will have to deal with the consequences. But what if it's not quite so complicated? The real job of artificial intelligence, argue these three eminent economists, is to lower the cost of prediction .
Prediction Machines: The Simple Economics of Artificial ~ "Prediction Machines achieves a feat as welcome as it is unique: a crisp, readable survey of where artificial intelligence is taking us separates hype from reality, while delivering a steady stream of fresh insights. It speaks in a language that top executives and policy makers will understand. Every leader needs to read this book."
Prediction Machines: The Simple Economics of Artificial ~ "Prediction Machines: The Simple Economics of Artificial Intelligence by Ajay Agrawal, Joshua Gans and Avi Goldfarb. This 2018 book…on the timely topic of AI - tops my summer reading list. The authors…offer a compelling framework for mapping out the likely impact of AI on economies in the decades ahead. --
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The Simple Economics of Machine Intelligence ~ He is the author of The Disruption Dilemma (MIT Press, March 2016) and a co-author of Prediction Machines: The Simple Economics of Artificial Intelligence (Harvard Business Review Press, April 2018).
The economics of artificial intelligence / McKinsey ~ In his new book, Prediction Machines: The Simple Economics of Artificial Intelligence, coauthored with professors Joshua Gans and Avi Goldfarb, Agrawal explains how business leaders can use this premise to figure out the most valuable ways to apply AI in their organization. The commentary here, which is adapted from a recent interview with McKinsey’s Rik Kirkland, summarizes Agrawal’s thesis. Consider it a CEO guide to parsing and prioritizing AI opportunities.
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Joshua Gans ~ Prediction Machines. This book (published in April 2018 by Harvard Business Review Press) explores the simple economics of artificial intelligence. The Disruption Dilemma. Published in 2016 by MIT Press, this book takes the theory of disruption and examines the full record on its effects. It builds a novel synthesis on management theories on successful firm failure with new recommendations for .
Prediction Machines: The Simple Economics of Artificial ~ Prediction Machines: The Simple Economics of Artificial Intelligence - Kindle edition by Agrawal, Ajay, Gans, Joshua, Goldfarb, Avi. Download it once and read it on your Kindle device, PC, phones or tablets. Use features like bookmarks, note taking and highlighting while reading Prediction Machines: The Simple Economics of Artificial Intelligence.
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7 Types Of Artificial Intelligence - Forbes ~ While artificial intelligence (AI) has become a commonly used and understood term, there is still a degree of obscurity regarding the different types of AI that exist and can exist in the future.
Joshua Gans - Wikipedia ~ Joshua Gans holds the Jeffrey Skoll Chair in Technical Innovation and Entrepreneurship at the Rotman School of Management, University of Toronto. Until 2011, he was an economics professor at Melbourne Business School in Australia. His research focuses on competition policy and intellectual property protection. He is the author of several textbooks and policy books, as well as numerous articles .
What is artificial intelligence? - BBC News ~ The BBC's quick guide to artificial intelligence. A computer can beat the world chess champion and understand voice commands on your smartphone, but real artificial intelligence has yet to arrive.
State of AI Report 2020 ~ Download 2020 Report. Now in its third year, the State of AI Report 2020 features invited contributions from a range of well-known and up-and-coming companies and research groups. The Report considers the following key dimensions: Research: Technology breakthroughs and capabilities. Talent: Supply, demand and concentration of AI talent. Industry: Areas of commercial application for AI and its .
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Data May Be the New Oil, but Having Lots of It May Not ~ He is the author of The Disruption Dilemma (MIT Press, March 2016) and a co-author of Prediction Machines: The Simple Economics of Artificial Intelligence (Harvard Business Review Press, April 2018).
Is Artificial Intelligence Dangerous? 6 AI Risks Everyone ~ At the core, artificial intelligence is about building machines that can think and act intelligently and includes tools such as Google's search algorithms or the machines that make self-driving .
OECD Science, Technology and Innovation Outlook 2018 ~ The OECD Science, Technology and Innovation Outlook 2018 is the twelfth edition in a series that biennially reviews key trends in science, technology and innovation (STI) policy in OECD countries and a number of major partner economies. The 14 chapters within this edition look at a range of .
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