000			03073nam a2200349 i 4500
001			8215693
003			CaAEU
006			m o d |
007			cr cnu||||||||
008			180418s2018 mau o 000 0 eng d
020			_a9781633695672
020			_a9781647824679
035			_aon1030607642
037			_a5180065 _bProquest Ebook Central
039			_aexclude
040			_aCaONFJC _erda _cCaONFJC _dAEU
050		4	_aTA347.A78 _b.A385 2018
090			_aInternet Access _bAEU
100	1		_aAgrawal, Ajay, _eauthor.
245	1	0	_aPrediction machines _b: the simple economics of artificial intelligence _c/ Ajay Agrawal, Joshua Gans, and Avi Goldfarb.
264		1	_aBoston, Massachusetts : _bHarvard Business Review Press, _c[2018]
300			_a280 pages
520			_a"Artificial intelligence seems to do the impossible, magically bringing machines to life-driving cars, trading stocks, and teaching children. But facing the sea change that AI brings can be paralyzing. How should companies set strategies, governments design policies, and people plan their lives for a world so different from what we know? In the face of such uncertainty, many either cower in fear or predict an impossibly sunny future. But in Prediction Machines, three eminent economists recast the rise of AI as a drop in the cost of prediction. With this single, masterful stroke, they lift the curtain on the AI-is-magic hype and show how basic tools from economics provide clarity about the AI revolution and a basis for action by executives, policy makers, investors, and entrepreneurs. In this newly revised and expanded edition, the authors illustrate how, when AI is framed as cheap prediction, its extraordinary potential becomes clear: Prediction is at the heart of making decisions amid uncertainty. Our businesses and personal lives are riddled with such decisions; prediction tools increase productivity-operating machines, handling documents, communicating with customers; and uncertainty constrains strategy. Better prediction creates opportunities for new business strategies to compete. Reflecting on the book's reception, the authors reset the context, describing the striking impact the book has had and how its argument and its implications are playing out in the real world. And in new material, they explain how prediction fits into decision-making processes and how foundational technologies such as quantum computing will impact business choices. Penetrating, insightful, and practical, Prediction Machines will help you navigate the changes on the horizon. The impact of AI will be profound, but the economic framework for understanding it is surprisingly simple"-- Provided by publisher
650		0	_aArtificial intelligence _xEconomic aspects.
650		0	_aDecision making _xStatistical methods.
650		0	_aForecasting _xStatistical methods.
653			_aBibliography B3 DATA The Business Aspect of Artificial Intelligence
700	1		_aGoldfarb, Avi, _eauthor.
700	1		_aGans, Joshua, _d1968- _eauthor.
942			_2lcc
999			_c3855 _d3855
041			_aEnglish