Accelerating automotive's AI transformation : how driving AI enterprise-wide can turbo-charge organizational value

<?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>Winkler, Markus </dc:creator>
<dc:creator>Capgemini Research Institute</dc:creator>
<dc:date>2020</dc:date>
<dc:description xml:lang="es">Sumario: Artificial intelligence (AI) holds the key to a new future of value for the automotive industry. While popular attention is focused on the use of AI in autonomous cars, the industry is also working on AI applications that extend far beyond  engineering, production, supply chain, customer experience, and mobility services among others. Our research finds that the industry has made modest progress in AI-driven transformation since 2017. Many organizations have yet to scale their AI applications beyond pilots and proofs-of-concept. Yet, there is a group of companies that are making significant progress in driving use cases at scale. </dc:description>
<dc:identifier>https://documentacion.fundacionmapfre.org/documentacion/publico/es/bib/172781.do</dc:identifier>
<dc:language>eng</dc:language>
<dc:publisher>Capgemini Research Institute</dc:publisher>
<dc:rights xml:lang="es">InC - http://rightsstatements.org/vocab/InC/1.0/</dc:rights>
<dc:subject xml:lang="es">Industria automovilística</dc:subject>
<dc:subject xml:lang="es">Fábricas de automóviles</dc:subject>
<dc:subject xml:lang="es">Desarrollo tecnológico</dc:subject>
<dc:subject xml:lang="es">Nuevas tecnologías</dc:subject>
<dc:subject xml:lang="es">Inteligencia artificial</dc:subject>
<dc:subject xml:lang="es">Creación de valor en la empresa</dc:subject>
<dc:type xml:lang="es">Libros</dc:type>
<dc:title xml:lang="es">Accelerating automotive's AI transformation : how driving AI enterprise-wide can turbo-charge organizational value</dc:title>
<dc:format xml:lang="es">36 p.</dc:format>
</rdf:Description>
</rdf:RDF>