000			03295cam a2200517 i 4500
001			23117452
003			BJBSDDR
005			20260323132354.0
007			ta
008			230506s2023 maua 001 0 eng
010			_a 2023014340
020			_a9781647825843 (paperback)
020			_a1647825849 (paperback)
020			_z9781647825850 _q(epub)
040			_aMH/DLC _beng _erda _cDLC _dDLC
041			_a eng
042			_apcc
050	1	4	_aHD 45.2 _bH431 2023
082	0	0	_a658/.0563
130	0		_aOn AI (Harvard Business Review Press)
245	1	0	_aHBR's 10 must reads on AI
246	3		_aOn AI
246	3	0	_aAI
264		1	_aBoston, Massachusetts : _bHarvard Business Review Press, _c2023.
300			_aviii, 151 pages : _billustrations ; _c22 cm
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
490	1		_aHBR's 10 must reads
500			_aIncludes index.
505	0	0	_tCompeting in the Age of AI / _rby Marco Iansiti and Karim R. Lakhani -- _tHow to Win with Machine Learning / _rby Ajay Agrawal, Joshua Gans, and Avi Goldfarb -- _tDeveloping a Digital Mindset / _rby Tsedal Neeley and Paul Leonardi -- _tLearning to Work with Intelligent Machines / _rby Matt Beane -- _tGetting AI to Scale / _rby Tim Fountaine, Brian McCarthy, and Tamim Saleh -- _tWhy You Aren't Getting More from Your Marketing AI / _rby Eva Ascara, Michael Ross, and Bruce G.S. Hardie -- _tThe Pitfalls of Pricing Algorithms / _rby Marco Bertini and Oded Koenigsberg -- _tA Smarter Strategy for Using Robots / _rby Ben Armstrong and Julie Shah -- _tWhy You Need an AI Ethics Committee / _rby Reid Blackman -- _tRobots Need Us More Than We Need Them / _rby H. James Wilson and Paul R. Daugherty -- _tStop Tinkering with AI / _rby Thomas H. Davenport and Nitin Mittal.
520			_a"If you read nothing else on artificial intelligence and machine learning, read these 10 articles. We've combed through hundreds of Harvard Business Review articles and selected the most important ones to help you understand what's happening, look ahead to what's possible, and bring your AI efforts to scale. This book will inspire you to: develop your next AI strategy; seize the potential of natural language processing; prepare for jobs and industries to be transformed; help people and machines work together; prepare for the regulation of AI; develop algorithms for sales and marketing; stop tinkering with AI and go all in"-- _cProvided by publisher.
650		0	_aIndustrial management _xData processing.
650		4	_aAdministración industrial _xProcesamiento de datos _918537
650		0	_aArtificial intelligence.
650		4	_aInteligencia artificial _92016
650		0	_aRobots, Industrial.
650		4	_aRobótica _92015
650		4	_aRobótica _xAplicaciones científicas _947657
710	2		_aHarvard Business Review Press _eeditor _921286
776	0	8	_iOnline version: _aHarvard Business Review (Brighton, Massachusetts). _tHBR's 10 must reads on AI _dBrighton : Harvard Business Review Press, 2023 _z9781647825850 _w(DLC) 2023014341
830		0	_aHBR's 10 must reads series _96060
906			_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg
942			_2lcc _cBK
999			_c123701 _d123701