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The efficiency paradox : what big data can't do

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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

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Ketersediaan

B20210197

658.5 TEN e

Pradita Library (600)

Tersedia

Informasi Detail

Judul Seri

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No. Panggil

658.5 TEN e

Penerbit

United States of America : Vintage Books., 2018

Deskripsi Fisik

xxxi, 282 hlm.; illus.; 13 x 20 cm.

Bahasa

English

ISBN/ISSN

978-1-4000-3488-8

Klasifikasi

600

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

Ed. I.

Subjek

Big Data
Artificial Intelligence
Industrial efficiency
Serendipity

Info Detail Spesifik

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Pernyataan Tanggungjawab

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Versi lain/terkait

Lampiran Berkas

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