000			02816cam a2200325 i 4500
001			20147040
003			OSt
005			20220527090159.0
008			171108s2018 mau 000 0 eng c
010			_a 2017049211
020			_a9781633695672 _q(hardcover : alk. paper)
040			_aMH/DLC _beng _erda _cMH _dDLC
042			_apcc
050	0	0	_aTA347.A78 _bA385 2018
082	0	0	_a658.0563 _223
100	1		_aAgrawal, Ajay, _eauthor.
245	1	0	_aPrediction machines : _bthe simple economics of artificial intelligence / _cAjay Agrawal, Joshua Gans, Avi Goldfarb.
260			_aBoston, Mass. _bHBR _c2018
300			_ax, 250 pages ; _c25 cm
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.--
650		0	_aArtificial intelligence _xEconomic aspects.
650		0	_aDecision making _xStatistical methods.
650		0	_aForecasting _xStatistical methods.
700	1		_aGans, Joshua, _d1968- _eauthor.
700	1		_aGoldfarb, Avi, _eauthor.
906			_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg
942			_2ddc _cBK
999			_c10092 _d10092