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The Efficiency Paradox: What Big Data Can't Do
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The Efficiency Paradox: What Big Data Can't Do Hardback - 2018

by Edward Tenner

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Reader reviews for The Efficiency Paradox: What Big Data Can't Do

From the publisher

A bold challenge to our obsession with efficiency--and a new understanding of how to benefit from the powerful potential of serendipity.

Algorithms, multitasking, the sharing economy, life hacks: our culture can't get enough of efficiency. One of the great promises of the Internet and big data revolutions is the idea that we can improve the processes and routines of our work and personal lives to get more done in less time than we ever have before. There is no doubt that we're performing at higher levels and moving at unprecedented speed, but what if we're headed in the wrong direction?

Melding the long-term history of technology with the latest headlines and findings of computer science and social science, The Efficiency Paradox questions our ingrained assumptions about efficiency, persuasively showing how relying on the algorithms of digital platforms can in fact lead to wasted efforts, missed opportunities, and, above all, an inability to break out of established patterns. Edward Tenner offers a smarter way of thinking about efficiency, revealing what we and our institutions, when equipped with an astute combination of artificial intelligence and trained intuition, can learn from the random and unexpected.

Details

  • Title The Efficiency Paradox: What Big Data Can't Do
  • Author Edward Tenner
  • Binding Hardback
  • Pages 320
  • Volumes 1
  • Language ENG
  • Publisher Knopf Publishing Group
  • Publication date 2018-04
  • ISBN 9781400041398 / 1400041392
  • Weight 1.4 lbs (0.64 kg)
  • Dimensions 9.2 x 6.3 x 1.4 in (23.37 x 16.00 x 3.56 cm)
  • Category Sociology
  • Library of Congress subjects Industrial efficiency, Artificial intelligence
  • Library of Congress Catalogue Number 2017032040
  • Dewey Decimal Code 658.515

About the author

EDWARD TENNER is a distinguished scholar of the Smithsonian's Lemelson Center for the Study of Invention and Innovation and a visiting scholar in the Rutgers University Department of History. He was a visiting lecturer at the Humanities Council at Princeton and has held visiting research positions at the Institute for Advanced Study and the University of Pennsylvania. His essays and reviews have appeared in The New York Times, The Washington Post, The Wall Street Journal, The Atlantic, The Wilson Quarterly, and Forbes.com, and he has given talks for many organizations, including Microsoft, AT&T, the National Institute on White Collar Crime, the Smithsonian Associates, and TED. His book, Why Things Bite Back: Technology and the Revenge of Unintended Consequences, written in part with a Guggenheim Fellowship, has been translated into German, Japanese, Chinese, Italian, Portuguese, and Czech.

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The Efficiency Paradox : What Big Data Can't Do

The Efficiency Paradox : What Big Data Can't Do

by Edward Tenner

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The Efficiency Paradox: What Big Data Can't Do

by Tenner, Edward

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The Efficiency Paradox: What Big Data Can't Do
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The Efficiency Paradox: What Big Data Can't Do

by Tenner, Edward

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  • Hardback
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ISBN 10 / ISBN 13
9781400041398 / 1400041392
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The Efficiency Paradox : What Big Data Can't Do
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The Efficiency Paradox : What Big Data Can't Do

by Tenner, Edward

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The Efficiency Paradox : What Big Data Can't Do

by Tenner, Edward

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by Edward Tenner

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The Efficiency Paradox: What Big Data Can't Do

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The Efficiency Paradox: What Big Data Can't Do
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The Efficiency Paradox: What Big Data Can't Do

by Tenner, Edward

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ISBN 10 / ISBN 13
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