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The Efficiency Paradox: What Big Data Can't Do

The Efficiency Paradox: What Big Data Can't Do

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作者: Edward Tenner 作者

出版社: Knopf

出版时间: 2018-04

ISBN: 1400041392 或 9781400041398

定价: 121.70

装帧: 精装

开本: 其他

页数: 320页

正文语种: 英语

分类: 外文古旧书>英文书>文学

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

Algorithms, multitasking, 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 ever before. There is no doubt that we're performing at higher scales and going faster than ever, but what if we're headed in the wrong direction?
The Efficiency Paradox questions our ingrained assumptions about efficiency, persuasively showing how relying on the algorithms of 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 to think about efficiency, showing how we can combine artificial intelligence and our own intuition, leaving ourselves and our institutions open to learning from the random and unexpected. 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.
内容简介:
A bold challenge to our obsession with efficiency--and a new understanding of how to benefit from the powerful potential of serendipity

Algorithms, multitasking, 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 ever before. There is no doubt that we're performing at higher scales and going faster than ever, but what if we're headed in the wrong direction?
The Efficiency Paradox questions our ingrained assumptions about efficiency, persuasively showing how relying on the algorithms of 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 to think about efficiency, showing how we can combine artificial intelligence and our own intuition, leaving ourselves and our institutions open to learning from the random and unexpected.
作者简介:
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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效率悖论：大数据做不到什么英文原版 The Efficiency Paradox: What Big Data Can’t Do Edward Tenner 毛边? 9781400041398

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