000 02767nam a22003258i 4500
001 20147040
003 IIITD
005 20240501020003.0
008 171108s2018 mau 000 0 eng c
010 _a 2017049211
020 _a9781633695672
040 _aMH/DLC
_beng
_erda
_cMH
042 _apcc
050 0 0 _aTA347.A78
_bA385 2018
082 0 0 _a658.0563
_223
_bAGR-P
100 1 _aAgrawal, Ajay
245 1 0 _aPrediction machines :
_bthe simple economics of artificial intelligence
_cby Ajay Agrawal, Joshua Gans, and Avi Goldfarb.
260 _aBoston :
_bHBR Press,
_c©2018.
300 _ax, 250 p.;
_c24 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
700 1 _aGoldfarb, Avi
906 _a7
_bcbc
_corignew
_d1
_eecip
_f20
_gy-gencatlg
942 _2ddc
_cBK
_01
999 _c24900
_d24900