000			02733cam a2200349 i 4500
003			OSt
005			20250717145502.0
008			171108s2018 mau 000 0 eng c
020			_a9781647824679
040			_cSTCPL
041			_aENG
082	0	0	_a658.056 3 _bAJA-P
100	1		_aAgrawal, Ajay
100	1		_aGans, Joshua
100	1		_aGoldfarb, Avi
245	1	0	_aPrediction machines : _bThe simple economics of artificial intelligence / _cby Ajay Agrawal, Joshua Gans and Avi Goldfarb
260			_aBoston: _bHarvard Business Review Press , _c2022.
300			_a280 p. _bHB
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	_aEconomics
650		0	_aDecision making
650		0	_aPrediction
650		0	_aArtificial intelligence
650		0	_aDecision making
650		0	_aEconomic aspects
650		0	_aForecasting
650		0	_aStatistical methods
942			_cBK
942			_2ddc
942			_2ddc
999			_c86938 _d86938