How to build AI with (and for) everyone in your organization
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| Tag | 1 | 2 | Value |
|---|---|---|---|
| LDR | 00000cam a22000004b 4500 | ||
| 001 | MAP20200019428 | ||
| 003 | MAP | ||
| 005 | 20230321114144.0 | ||
| 008 | 180511e20200501usa|||| ||| ||eng d | ||
| 040 | $aMAP$bspa$dMAP | ||
| 084 | $a922.134 | ||
| 245 | 1 | 0 | $aHow to build AI with (and for) everyone in your organization$cBenjamin Cheatham...[et al.] |
| 260 | $aNew York$bMcKinsey & Company$c2020 | ||
| 300 | $a6 p. | ||
| 520 | 3 | $aAfter the 200001 recession, for example, 15 percent of companies that had not previously been leaders in their industries emerged as stalwarts in their sectors and moved into the top quartile. Likewise, while most retailers did poorly after the Great Recession of 200709, a handful showed their mettle and delivered more than five times the average total returns to shareholders. Few would argue that the COVID-19 pandemic is more devastating than these events. It is a humanitarian crisis of the likes we have not experienced in recent times. The work organizations face to safeguard their employees' lives and livelihoods is formidable. As companies work to regain their footing from the vast human and economic toll, artificial intelligence (AI) is poised to play a pivotal role. The pressure for organizations to adopt AI was already mounting before the crisis as the technology delivered returns to early adopters. The COVID-19 crisis has only elevated the technology's prominence, with many companies using AI to quickly triage the vast challenges they face and set a new course for their employees, customers, and investors in an uncertain, rapidly evolving landscape. | |
| 650 | 4 | $0MAPA20200005599$aCOVID-19 | |
| 650 | 4 | $0MAPA20200005391$aCoronavirus | |
| 650 | 4 | $0MAPA20080552022$aPandemias | |
| 650 | 4 | $0MAPA20080611200$aInteligencia artificial | |
| 650 | 4 | $0MAPA20080606787$aInnovación empresarial | |
| 650 | 4 | $0MAPA20090040410$aRecesión económica | |
| 650 | 4 | $0MAPA20080586546$aNuevas tecnologías | |
| 650 | 4 | $0MAPA20170006503$aTransformación digital | |
| 700 | 1 | $0MAPA20200013563$aCheatham, Benjamin | |
| 700 | 1 | $0MAPA20200013570$aCosmas, Alex | |
| 700 | 1 | $0MAPA20200013587$aMehta, Nehal | |
| 700 | 1 | $0MAPA20200013594$aShah, Dhruv | |
| 710 | 2 | $0MAPA20080442569$aMcKinsey & Company |