000			03040nam a2200409 a 4500
001			00004887
003			ES-MaONT
005			20211006062601.0
007			tb
008			180703s2018 mau 000 0 eng c
010			_a2017049211
020			_a9781633695672
024			_d.
040			_erda _dBUS _cCDO
080			_a004.8
080			_a519.216.3
080			_a519.816
082	0	0	_a658/.0563 _223
100	1		_aAgrawal, Ajay _92650
245	1	0	_aPrediction machines _bthe simple economics of artificial intelligence / _cAjay Agrawal, Joshua Gans, Avi Goldfarb
264		1	_aBoston, Massachusetts : _bHarvard Business Review Press, _c[2018]
264		4	_c2018
300			_aX, 250 p. : _bgráf. ; _c25 cm
336			_atexto (visual) _2isbdcontent
337			_asin mediación _2isbdmedia
338			_avolumen _bnc [ _2rdacarrier]
500			_aMSC 68Txx ; 90B50 ; 60G25
504			_aIncluye referencias bibliográficas (p. 225-238) e índice
505	0		_aCheap changes everything -- The magic of prediction -- Why it's called intelligence -- Data is the new oil -- The new division of labor -- Unpacking decisions -- The value of judgment -- Taming complexity -- What machines can learn -- Fully automated decision-making -- Deconstructing workflows -- Decomposing decisions -- Job redesign -- AI in the C-suite -- When AI transforms your business -- Managing AI risk -- Beyond business
520			_aThe idea of artificial intelligence--job-killing robots, self-driving cars, and self-managing organizations--captures the imagination, evoking a combination of wonder and dread for those of us who will have to deal with the consequences. But what if it's not quite so complicated? The real job of artificial intelligence, argue these three eminent economists, is to lower the cost of prediction. And once you start talking about costs, you can use some well-established economics to cut through the hype. The constant challenge for all managers is to make decisions under uncertainty. And AI contributes by making knowing what's coming in the future cheaper and more certain. But decision making has another component: judgment, which is firmly in the realm of humans, not machines. Making prediction cheaper means that we can make more predictions more accurately and assess them with our better (human) judgment. Once managers can separate tasks into components of prediction and judgment, we can begin to understand how to optimize the interface between humans and machines. More than just an account of AI's powerful capabilities, Prediction Machines shows managers how they can most effectively leverage AI, disrupting business as usual only where required, and provides businesses with a toolkit to navigate the coming wave of challenges and opportunities.-- _cProvided by publisher
650		0	_aTecnologías habilitadoras digitales _918
653			_aInteligencia artificial
700			_aGans, Joshua _d(1968-) _92651
700			_aGoldfarb, Avi _92652
856			_u. _x1
942			_2z _cLIB
999			_c4887 _d4887