000			02236cam a22004218i 4500
001			19990182
003			MiTN
005			20190729110924.0
008			170913s2018 nyu 000 0 eng
035			_a(DLC)19990182
035			_a(DLC)2017032040
010			_a 2017032040
020			_a9781400041398 (hardback)
020			_a9781400034888 (paperback)
020			_z9780525520306 (ebook)
040			_aDLC _beng _cDLC _erda _dDLC
042			_apcc
050	0	0	_aT58.8 _b.T45 2018
082	0	0	_a658.5/15 _223
084			_aBUS098000 _aSOC052000 _aSEL035000 _2bisacsh
100	1		_aTenner, Edward,
245	1	4	_aThe efficiency paradox : _bwhat big data can't do / _cEdward Tenner.
250			_aFirst Edition.
263			_a1111
264		1	_aNew York : _bKnopf, _c2018.
300			_apages cm
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
520			_a"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"-- _cProvided by publisher.
650		0	_aIndustrial efficiency.
650		0	_aSerendipity.
650		0	_aArtificial intelligence.
650		0	_aBig data.
596			_a1
948			_au815492
903			_a36142
999			_c36142 _d36142