000			04824cam a2200385Ii 4500
001			on1111514513
003			OCoLC
005			20240726105214.0
008			190803s2019 xx o 000 0 eng d
040			_aEBLCP _beng _epn _erda _cEBLCP _dYDX _dOCLCQ _dNT _dEBLCP _dOCLCF _dCNO _dOCLCO
020			_a9781633697904 _q((electronic)l(electronic)ctronic)
050	0	4	_aQ335 _b.A785 2019
049			_aMAIN
245	1	0	_aArtificial Intelligence : _bthe Insights You Need from Harvard Business Review. _c
260			_aLa Vergne : _bHarvard Business Review Press, _c(c)2019.
300			_a1 online resource (xvi, 176 pages)
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_adata file _2rda
490	1		_aThe insights you need from Harvard Business Review
504			_a2
520	0		_aCompanies that don't use AI to their advantage will soon be left behind. Artificial intelligence and machine learning will drive a massive reshaping of the economy and society. What should you and your company be doing right now to ensure that your business is poised for success? These articles by AI experts and consultants will help you understand today's essential thinking on what AI is capable of now, how to adopt it in your organization, and how the technology is likely to evolve in the near future. Artificial Intelligence: The Insights You Need from Harvard Business Review will help you spearhead important conversations, get going on the right AI initiatives for your company, and capitalize on the opportunity of the machine intelligence revolution. Catch up on current topics and deepen your understanding of them with the Insights You Need series from Harvard Business Review. Featuring some of HBR's best and most recent thinking, Insights You Need titles are both a primer on today's most pressing issues and an extension of the conversation, with interesting research, interviews, case studies, and practical ideas to help you explore how a particular issue will impact your company and what it will mean for you and your business.-- _cProvided by publisher.
505	0	0	_aSection 1. Understanding AI and machine learning: The business of artificial intelligence: what it can -- _tand cannot -- _tdo for your organization / _rErik Brynjolfsson and Andrew McAfee -- _tInside facebook's AI workshop: at the social network behemoth, machine learning has become a platform for the platform, an interview with Joaquin Candela by Scott Berinato -- _tWhy companies that wait to adopt AI may never catch up: the "fast follower" strategy won't work / _rVikram Mahidhar and Thomas H. Davenport -- _tSection 2. Adopting AI: 3 questions about AI that nontechnical employees should be able to answer: how does it work, what is it good at, and what should it never do? / _rEmma Martinho-Truswell -- _tIs your company's data actually valuable in the AI era?: the problem with "data is the new oil." / _rAjay Agrwawal, Joshua Gans, and Avi Goldfarb -- _tHow to choose your first AI project: pick a quick win to build internal support / _rAndrew Ng -- _tHow Harley-Davidson used artificial intelligence to increase New York sales leads by 2,930%: and it led to more revenue and more jobs / _rBrad Power -- _tWhat will happen when your company's algorithms go wrong?: you need to have a plan / _rRoman V. Yampolskiy -- _tSection 3. AI and the future of work: How will AI change work?: here are 5 schools of thought: in some versions, society will fundamentally change / _rMark Knickrehm -- _tCollaborative intelligence: humans and AI are joining forces: humans and machines can enhance each other's strengths / _rH. James Wilson and Paul Daugherty -- _tSection 4. The future of AI: 3 ways AI is getting more emotional: as we spend more time with our devices, we emit more data to be analyzed / _rSophie Kleber -- _tHow AI will change strategy: a thought experiment: E-commerce could move from shopping-then-shipping to shipping-then-shopping / _rAjay Agrwawal, Joshua Gans, and Avi Goldfarb -- _tThe future of AI will be about less data, not more: we need computers with some common sense / _rH. James Wilson, Paul Daugherty, and Chase Davenport.
530			_a2 _ub
650		0	_aArtificial intelligence.
650		0	_aArtificial intelligence _xIndustrial applications.
650		0	_aTechnological innovations _xEconomic aspects.
655		1	_aElectronic Books.
700	1		_aHarvard Business Review Press, _eissuing body.
856	4	0	_uhttps://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=2003692&site=eds-live&custid=s3260518 _zClick to access digital title | log in using your CIU ID number and my.ciu.edu password
942			_cOB _D _eEB _hQ _m2019 _QOL _R _x _8NFIC _2LOC
994			_a92 _bNT
999			_c92539 _d92539
902			_a1 _bCynthia Snell _c1 _dCynthia Snell