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 phasesAutor(es):
Atsmon, Yuval
McKinsey & Company
Editor: [Nueva York] : McKinsey & Company, April 2021Descripción: 13 p. : tabl., gráf. ; 1 documento PDFTipo de contenido: texto (visual) Tipo de medio: electrónico
Tipo de soporte: recurso en líneaTema(s): Inteligencia Artificial



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CDO
El Centro de Documentación del Observatorio Nacional de las Telecomunicaciones y de la Sociedad de la Información (CDO) os da la bienvenida al catálogo bibliográfico sobre recursos digitales en las materias de Tecnologías de la Información y telecomunicaciones, Servicios públicos digitales, Administración Electrónica y Economía digital.
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Colección digital | Acceso libre online | 1000020176688 |
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.
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