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04849aam a2200517 i 4500 001 7C57F006D05211EDAFAA7FBA3FECA4DB 003 SILO 005 20230401010016 008 220609s2022 maua b 001 0 eng 010 $a 2022020618 020 $a 1647824192 020 $a 9781647824198 035 $a (OCoLC)1293059576 040 $a MH/DLC $b eng $e rda $c DLC $d UKMGB $d OCLCF $d GK8 $d IUO $d VP@ $d BECOE $d OQX $d YDX $d TOH $d YUS $d SILO 042 $a pcc 050 00 $a Q335 $b .A3955 2022 082 00 $a 006.3/3 $2 23/eng20220910 100 1 $a Agrawal, Ajay, $e author. 245 10 $a Power and prediction : $b the disruptive economics of artificial intelligence / $c Ajay Agrawal, Joshua Gans, Avi Goldfarb. 264 1 $a Boston, Massachusetts : $b Harvard Business Review Press, $c [2022] 300 $a xiv, 268 pages : $b illustrations ; $c 24 cm 504 $a Includes bibliographical references and index. 505 0 $a Part 1: The Between Times -- Chapter 1: A Parable of Three Entrepreneurs -- Chapter 2: AI's System Future -- Chapter 3: AI Is Prediction Technology -- Part 2: Rules -- Chapter 4: To Decide or Not to Decide -- Chapter 5: Hidden Uncertainty -- Chapter 6: Rules are Glue -- Part 3: Systems -- Chapter 7: Glued vs. Oiled Systems -- Chapter 8: The System Mindset -- Chapter 9: The Greatest System of All -- Part 4: Power -- Chapter 10: Disruption and Power -- Chapter 11: Do Machines Have Power? -- Agrawal et al FM- -- Chapter 12: Accumulating Power -- Part 5: How AI Disrupts -- Chapter 13: A Great Decoupling -- Chapter 14: Thinking Probabilistically -- Chapter 15: The New Judges -- Part 6: Envisaging New Systems -- Chapter 16: Designing Reliable Systems -- Chapter 17: The Blank Slate -- Chapter 18: Anticipating System Change -- Epilogue: AI Bias and Systems 520 $a "Banking and finance, pharmaceuticals, automotive, medical technology, retail. Artificial intelligence (AI) has made its way into many industries around the world. But the truth is, it has just begun its odyssey toward cheaper, better, and faster predictions to drive strategic business decisions-powering and accelerating business. When prediction is taken to the max, industries transform. The disruption that comes with such transformation is yet to be felt-but it is coming. How do businesses prepare? In their bestselling first book, Prediction Machines, eminent economists Ajay Agrawal, Joshua Gans, and Avi Goldfarb explained the simple yet game-changing economics of AI. Now, in Power and Prediction, they go further to reveal AI as a prediction technology directly impacting decision-making and to teach businesses how to identify disruptive opportunities and threats resulting from AI. Their exhaustive study of new developments in artificial intelligence and the past history of how technologies have disrupted industries highlights the striking phase we are now in: after witnessing the power of this new technology and before its widespread adoption-what they call "the Between Times." While there continue to be important opportunities for businesses, there are also threats of disruption. As prediction machines improve, old ways of doing things will be upended. Also, the process by which AI filters into the many systems involved in application is very uneven. That process will have winners and losers. How can businesses leverage, or protect, their positions? Filled with illuminating insights, rich examples, and practical advice, Power and Prediction is the must-read guide for any business leader or policy maker on how to make the coming AI disruptions work for you rather than against you"-- $c Provided by publisher. 650 0 $a Artificial intelligence. 650 0 $a Prediction of occupational success. 650 0 $a Forecasting. 650 0 $a Disruptive technologies. 650 0 $a Power (Social sciences) 650 7 $a BUSINESS & ECONOMICS / Industries / Computers & Information Technology. $2 bisacsh 650 7 $a Artificial intelligence. $2 eclas 650 7 $a Intelligence artificielle. $2 eclas 650 7 $a Artificial intelligence. $2 fast $0 (OCoLC)fst00817247 650 7 $a Disruptive technologies. $2 fast $0 (OCoLC)fst01737941 650 7 $a Forecasting. $2 fast $0 (OCoLC)fst00931721 650 7 $a Power (Social sciences) $2 fast $0 (OCoLC)fst01074219 650 7 $a Prediction of occupational success. $2 fast $0 (OCoLC)fst01075028 700 1 $a Gans, Joshua, $d 1968- $e author. 700 1 $a Goldfarb, Avi, $e author. 776 08 $i Online version: $a Agrawal, Ajay. $t Power and prediction $d Boston, Massachusetts : Harvard Business Review Press, [2022] $z 9781647824204 $w (DLC) 2022020619 941 $a 3 952 $l PQAX094 $d 20231214043400.0 952 $l UQAX771 $d 20231021031911.0 952 $l UNUX074 $d 20230401010405.0 956 $a http://locator.silo.lib.ia.us/search.cgi?index_0=id&term_0=7C57F006D05211EDAFAA7FBA3FECA4DB 994 $a Z0 $b NIUInitiate Another SILO Locator Search