000 02905cam a2200337 i 4500
001 20147040
003 OSt
005 20200917124038.0
008 171108s2018 mau 000 0 eng c
010 _a 2017049211
020 _a9781633695672
_q(hardcover : alk. paper)
040 _aMH/DLC
_beng
_erda
_cIISERB
_dDLC
042 _apcc
050 0 0 _aTA347.A78
_bA385 2018
082 0 0 _a658.0563 Ag8P
_223
100 1 _aAgrawal, Ajay.
_926213
222 _aES-reference book collection
245 1 0 _aPrediction machines :
_bthe simple economics of artificial intelligence
_cAjay Agrawal, Joshua Gans, Avi Goldfarb.
260 _aBoston:
_bHarvard Business Review Press,
_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.
_926214
650 0 _aDecision making
_xStatistical methods.
_926215
650 0 _aForecasting
_xStatistical methods.
_926216
700 1 _aGans, Joshua
_eauthor.
_926217
700 1 _aGoldfarb, Avi.
_926218
906 _a7
_bcbc
_corignew
_d1
_eecip
_f20
_gy-gencatlg
942 _2ddc
_cBK
999 _c9183
_d9183