000			03011nam a2200337 i 4500
001			294062
003			IT-RoAPU
005			20241126220404.0
008			171108s2018 mau 000 0 eng d
020			_a9781633695672 _qhardcover : alk. paper
040			_aMH/DLC _bita _erda _cMH _dIT-RoAPU
082	0	0	_a658/.0563 _223
084			_aTA 347.A78.A38 2018
100	1		_aAgrawal, Ajay, _d1969- _eautore _1http://viaf.org/viaf/28132033 _9330092
245	1	0	_aPrediction machines : _bthe simple economics of artificial intelligence / _cAjay Agrawal, Joshua Gans, Avi Goldfarb.
264		1	_aBoston, Massachusetts : _bHarvard Business Review Press, _c[2018].
264		4	_cc2018.
300			_ax, 250 pagine ; _c25 cm.
336			_atesto _btxt _2rdacontent
337			_asenza mediazione _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
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		7	_aIntelligenza artificiale _2sbaa _9153877
650		7	_aDecisione _2sbaa _9228139
650		7	_aPrevisione _xStatistica _2sbaa _9232541
700	1		_aGans, Joshua, _d1968- _eautore _1http://viaf.org/viaf/32222257 _9330093
700	1		_aGoldfarb, Avi _eautore _1http://viaf.org/viaf/28133777 _9330094
850			_aIT-RoAPU
942			_cBK
999			_c294062 _d294062