LEADER 02407pam a2200229 a 4500
001 978754
005 20190926092822.0
008 190930t20182018nyua g 000 0 eng d
010 $a2017049211
020 $a9781633695672 (hbk.) :$cNT949
035 $aNO000180191
037 $a公共圖書館臺南分區資源中心
040 $aTWTNM$beng$dTWTNM
050 00$aTA347.A78$bA385 2018
082 04$a658.0563$222
090 $a臺南市立圖書館
100 1 $aAgrawal, Ajay.
245 10$aPrediction machines :$bthe simple economics of artificial intelligence /$cAjay Agrawal, Joshua Gans, and Avi Goldfarb.
260 $aBoston, Massachusetts :$bHarvard Business Review Press,$c[2018]
300 $ax, 250 pages :$billustrations ;$c25 cm.
504 $aIncludes bibliographical references (pages 225-238) and index.
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 $aThe idea of artificial intelligence--job-killing robots, self-driving cars, and self-managing organizations-- captures the imagination, evoking a combination of wonder and dread for those of us who will have to deal with the consequences. But what if it's not quite so complicated? The real job of artificial intelligence, argue these three eminent economists, is to lower the cost of prediction. And once you start talking about costs, you can use some well-established economics to cut through the hype. The constant challenge for all managers is to make decisions under uncertainty. And AI contributes by making knowing what's coming in the future cheaper and more certain. But decision making has another component: judgment, which is firmly in the realm of humans, not machines. Making prediction cheaper means that we can make more predictions more accurately and assess them with our better (human) judgment. Once managers can separate tasks into components of prediction and judgment, we can begin to understand how to optimize the interface between humans and machines. More than just an account of AI's powerful capabilities, Prediction Machines shows managers how they can most effe
650 0$aArtificial intelligence$xEconomic aspects.
650 0$aDecision making$xStatistical methods.
650 0$aForecasting$xStatistical methods.
653 $a青少年
700 1 $aGans, Joshua,$d1968-.
700 1 $aGoldfarb, Avi.