Artificial intelligence in business : separating the real from the hype
<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<rdf:Description>
<dc:creator>Breuer, Peter</dc:creator>
<dc:creator>Chui, Michael</dc:creator>
<dc:creator>London, Simon</dc:creator>
<dc:date>2017</dc:date>
<dc:description xml:lang="es">Sumario: Typically understood as being all about robots and whiz-bang machines, artificial intelligence (AI) can be tough for executives to wrap their business minds around. In this episode of the McKinsey Podcast, senior partner Peter Breuer and McKinsey Global Institute partner Michael Chui speak with McKinsey Publishing's Simon London about burgeoning business applications of artificial intelligence, the line between hype and true use cases for AI, and how business leaders can separate one from the other.</dc:description>
<dc:identifier>https://documentacion.fundacionmapfre.org/documentacion/publico/es/bib/162386.do</dc:identifier>
<dc:language>eng</dc:language>
<dc:publisher>McKinsey & Company</dc:publisher>
<dc:rights xml:lang="es">InC - http://rightsstatements.org/vocab/InC/1.0/</dc:rights>
<dc:subject xml:lang="es">Inteligencia artificial</dc:subject>
<dc:subject xml:lang="es">Machine learning</dc:subject>
<dc:subject xml:lang="es">Nuevas tecnologías</dc:subject>
<dc:subject xml:lang="es">Cambio tecnológico</dc:subject>
<dc:type xml:lang="es">Livros</dc:type>
<dc:title xml:lang="es">Artificial intelligence in business : separating the real from the hype</dc:title>
<dc:format xml:lang="es">8 p</dc:format>
</rdf:Description>
</rdf:RDF>