02392nam a22003137a 4500 6495 6495 00006495 ES-MaONT 20210428101714.0 210428s2021 -usd|||fr|||| 00| 0 eng d ES-MaONT Tipping the scales in AI : how leaders capture exponential returns : where many companies tire of marginal gains from early AI efforts, the most successful recognize that the real breakthroughs in AI learning and scale come from persisting through the arduous phases / this report was a collaborative effort by Yuval Atsmon ... [et al.] ; McKinsey’s Technology, Media & Telecommunications (TMT) and Digital Practices [Nueva York] : McKinsey & Company, April 2021 13 p. : tabl., gráf. ; 1 documento PDF texto (visual) isbdcontent electrónico isbdmedia recurso en línea rdacarrier McKinsey research finds that leading organizations that approach the AI journey in the right ways and stick with it through the tough patches generate three to four times higher returns from their investments. These AI leaders get on a different performance trajectory from the outset because they understand that AI is about mastering the long haul.But only a small number of businesses have figured out how to make AI work in these ways. The survey of some 800 companies in the technology, media, and telecommunications (TMT) sectors globally found that just 10 percent of companies are on this path. The rest remain mired in the low to middling stages of maturity, with laggards making up 60 percent of the population and aspirants 30 percent. Todos los derechos reservados ; McKinsey & Company Inteligencia Artificial 4348 AI organizaciones inversiones 4979 Atsmon, Yuval McKinsey & Company 2346 0 Acceso al documento https://www.mckinsey.com/~/media/McKinsey/Industries/Technology%20Media%20and%20Telecommunications/High%20Tech/Our%20Insights/Tipping%20the%20scales%20in%20AI/Tipping-the-scales-in-AI-How-leaders-capture-exponential-returns.pdf pdf 0 Más información https://www.mckinsey.com/industries/technology-media-and-telecommunications/our-insights/tipping-the-scales-in-ai udc INF 0 0 0 3 1 7439 01 01 online 2021-04-28 0 1000020176688 2021-04-28 00:00:00 2021-04-28 INF pdf