AI in automotive

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<rdf:Description>
<dc:creator>NetApp</dc:creator>
<dc:date>2020</dc:date>
<dc:description xml:lang="es">Sumario: Organizations across the automotive industry are rapidly adopting artificial intelligence (AI) to expand into new markets, optimize workflows, and move ever closer to fully autonomous driving. Across every use casefrom connected and autonomous vehicles to mobility services and smart manufacturingsuccess in AI depends on one thing: your data. This e-book will help you understand the top use cases for AI in the automotive industry and how to build an effective data pipeline to address key challenges for every use case.</dc:description>
<dc:identifier>https://documentacion.fundacionmapfre.org/documentacion/publico/es/bib/171693.do</dc:identifier>
<dc:language>spa</dc:language>
<dc:publisher>NetApp</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">Sector automoción</dc:subject>
<dc:subject xml:lang="es">Conducción automovilística</dc:subject>
<dc:subject xml:lang="es">Vehículos autónomos</dc:subject>
<dc:subject xml:lang="es">Movilidad</dc:subject>
<dc:type xml:lang="es">Libros</dc:type>
<dc:title xml:lang="es">AI in automotive</dc:title>
<dc:format xml:lang="es">23 p.</dc:format>
</rdf:Description>
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