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    Prediction Machines: The Simple Economics of Artificial Intelligence

    Beschreibung Prediction Machines: The Simple Economics of Artificial Intelligence. "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.



    Buch Prediction Machines: The Simple Economics of Artificial Intelligence PDF ePub

    Prediction Machines: The Simple Economics of Artificial ~ Prediction Machines: The Simple Economics of Artificial Intelligence / Agrawal, Ajay, Gans, Joshua, Goldfarb, Avi / ISBN: 9781633695672 / Kostenloser Versand fĂŒr alle BĂŒcher mit Versand und Verkauf duch .

    Prediction Machines: The Simple Economics of Artificial ~ 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.

    Prediction Machines ~ “Prediction Machines is a pathbreaking book that focuses on what strategists and managers really need to know about the AI revolution. Taking a grounded, realistic perspective on the technology, the book uses principles of economics and strategy to understand how firms, industries, and management will be transformed by AI.”

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    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."

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    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
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offer a compelling framework for mapping out the likely impact of AI on economies in the decades ahead. -- BlackRock Investment Management

    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).

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    Presentations — Prediction Machines ~ Talk at Google on Prediction Machines with Ajay Agrawal and Avi Goldfarb. Joshua Gans at Rotman on Automation (2019) Joshua Gans at CogX 2018 (London) on the impact of AI on business. Understanding the Economics of AI, with Avi Goldfarb #HBRLive. Ajay Agrawal: Artificial Intelligence and Business Strategy, April 16, 2018. Joshua Gans speaking at the "Machine Learning and the Market for .

    Prediction Machines: The Simple Economics of Artificial ~ Top-BĂŒcher Top-HörbĂŒcher Oprah's Book Club Prediction Machines: The Simple Economics of Artificial Intelligence (Unabridged) Ajay Agrawal und andere 15,99 € Anhören 15,99 € Anhören Beschreibung des Verlags "What does AI mean for your business? Read this book to find out." (Hal Varian, Chief Economist, Google)Â Artificial intelligence does the seemingly impossible, magically bringing .

    Prediction Machines: The Simple Economics of Artificial ~ Start by marking “Prediction Machines: The Simple Economics of Artificial Intelligence” as Want to Read: . Start your review of Prediction Machines: The Simple Economics of Artificial Intelligence. Write a review. Feb 05, 2019 David rated it really liked it. Shelves: technology, business, computers. This is a pretty good book about how artificial intelligence (AI) can be applied to .

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    AVI GOLDFARB ~ Avi Goldfarb is the Rotman Chair in Artificial Intelligence and Healthcare and a professor of marketing at the Rotman School of . Avi is the author of the Globe & Mail bestselling book Prediction Machines: The Simple Economics of Artificial Intelligence. He has published over 70 academic articles in a variety of outlets in marketing, statistics, law, computing, and economics. His work has .

    Prediction Machines Book — Professor Ajay Agrawal ~ 'Prediction Machines - The Simple Economics of Artificial Intelligence', co-authored by Professors Ajay Agrawal, Joshua Gans, and Avi Goldfarb, is a critically acclaimed best-selling book about the current and future economic impact of artificial intelligence. It was released on April 17, 2018.

    Mit „Ingenieur-Denke“ systematisch kĂŒnstliche Intelligenz ~ Ich empfehle dazu das Youtube-Video des kanadischen Wissenschaftlers Ajay Agrawal beziehungsweise sein Buch Prediction Machines: The Simple Economics of Artificial Intelligence. Hier kann ein Automatisierer oder Produktioner die Chancen von KI aus der ökonomischen Perspektive kennenlernen, um den digitalen Goldstaub im eigenen Unternehmen zu entdecken. Es entstehen plötzlich völlig neue .

    Artificial Intelligence (AI) Expert — Professor Ajay Agrawal ~ Professor Agrawal conducts research on the economics of artificial intelligence. He is coauthor of non-fiction best-selling book, Prediction Machines: The Simple Economics of Artificial Intelligence, with Professors Joshua Gans and Avi Goldfarb (Harvard Business School Press, 2018). Professor Agrawal's work has been cited by a variety of media such as Fortune, The Economist, The New .

    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.

    Prediction Machines: The Simple Economics of Artificial ~ Prediction Machines: The Simple Economics of Artificial Intelligence Scopri Prediction Machines: The Simple Economics of Artificial Intelligence di Ajay Agrawal, Joshua Gans, Avi Goldfarb: spedizione gratuita per i clienti Prime e per ordini a partire da 29€ spediti da . The Simple, Economic Value of Artificial Intelligence / COGNITIVE “Machine intelligence is, in its essence, a .

    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 .