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Prediction Machines

The Simple Economics of Artificial Intelligence
Lu par : LJ Ganser
Durée : 7 h et 50 min
4 out of 5 stars (1 notation)
Prix : 17,91 €
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Description

"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. 

PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio. 

©2018 Ajay Agrawal, Joshua Gans, Avi Goldfarb (P)2018 Audible, Inc.

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Global

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Il n'y a pas encore de critique disponible pour ce titre.
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  • Global
    3 out of 5 stars
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    4 out of 5 stars
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    3 out of 5 stars
  • WJ Brown, Audible Customer
  • 27/09/2018

Not sure what I was expecting, but underwhelmed

There are good examples of applied AI discussed throughout (but almost all of which I’ve seen or heard previously), but I never felt that this was advancing my understanding of the topic in any meaningful way.

61 sur 63 personne(s) ont trouvé cet avis utile.

  • Global
    5 out of 5 stars
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  • Anonymous User
  • 02/12/2018

Outstanding baseline on AI

The authors did a fabulous job introducing and demonstrating the economics of AI using real world examples. Very well done and I recommend this book to anyone wanting a high-level, baseline understanding and portending of the technology.

13 sur 13 personne(s) ont trouvé cet avis utile.

  • Global
    4 out of 5 stars
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    3 out of 5 stars
  • Soap Maker
  • 09/10/2018

worth reading but not as enlightening as I hoped

nothing at all wrong with the narration and the book is definitely interesting to some degree, but I did find myself losing interest close to the middle of the book. the authors do present a useful perspective on AI.

13 sur 13 personne(s) ont trouvé cet avis utile.

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    4 out of 5 stars
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  • Tony Yunnie
  • 08/10/2018

Useful

An informative book. It is aimed at providing insight into AI for non-techies, no technical skills are assumed or required. I enjoyed the entire book, from the first to the last page.

19 sur 20 personne(s) ont trouvé cet avis utile.

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  • Amazon Customer
  • 05/11/2018

Excellent read!

Excellent for those interested in the managerial, economic, and societal impact of Machine Learning. the authors offer a structured analysis of the implications of a technology that manages to be both rigorous and pleasant to read.

5 sur 5 personne(s) ont trouvé cet avis utile.

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    3 out of 5 stars
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  • Omar Kandeel
  • 01/01/2019

Unentertaining, but informative

I consider this book a good reference for business people and policy makers to understand the dimensions of AI and its various implications. The book can be a bit repetitive and I lost focus easily while listening. But it is a good source nonetheless.

16 sur 18 personne(s) ont trouvé cet avis utile.

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    3 out of 5 stars
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  • J. D. Rolle
  • 30/12/2018

Disappointing

I liked the data, the facts, the story of what...which was well-done.

What could have been done better with more clarity was the “why”.

11 sur 13 personne(s) ont trouvé cet avis utile.

  • Global
    5 out of 5 stars
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  • K. Garreau Jr.
  • 15/10/2018

Captivating

Loved the economists view of this topic! A must read for anyone working in information technology, ML or AI.

3 sur 3 personne(s) ont trouvé cet avis utile.

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    5 out of 5 stars
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  • George Szabo
  • 26/10/2018

Great book to understand AI and how to apply it

understanding what AI does and when other systems takeover is very important this book does a great job of helping you understand that idea. a must read.

4 sur 5 personne(s) ont trouvé cet avis utile.

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  • Jack R. Raine
  • 22/11/2018

Great overview

set your mind at ease. the machines aren't taking over. but they may present some pretty sweet opportunities!

5 sur 7 personne(s) ont trouvé cet avis utile.

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  • Stefan Münch
  • 29/01/2019

Interessante Konzepte für eine AI getriebene Welt

Das Buch bietet einen sehr guten Überblick über den "State of the Art" im Bereich Machine Learning und erläutert anhand schlüssiger Konzepte, welche Ökonomischen und Sozialen Entwicklungen dieser Technologietrend haben kann.