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The Efficiency Paradox: What Big Data Can\
The Efficiency Paradox: What Big Data Can't Do
作者:Tenner
出版社:Alfred a Knopf Inc
出版日期:2018-04-17
圖書介紹 - 資料來源:博客來
圖書名稱:The Efficiency Paradox: What Big Data Can’t Do

內容簡介

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.
 

詳細資料

  • ISBN:9781400041398
  • 規格:精裝 / 15.9 x 23.5 x 2.2 cm / 普通級
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