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

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<title>Accelerating automotive's AI transformation</title>
<subTitle>: how driving AI enterprise-wide can turbo-charge organizational value</subTitle>
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<name type="personal" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="MAPA20200018100">
<namePart>Winkler, Markus </namePart>
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<namePart>Capgemini Research Institute</namePart>
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<publisher>Capgemini Research Institute</publisher>
<dateIssued>2019</dateIssued>
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<abstract displayLabel="Summary">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. </abstract>
<note type="statement of responsibility">Markus Winkler...[Et al.]</note>
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<topic>Industria automovilística</topic>
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<topic>Fábricas de automóviles</topic>
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<topic>Desarrollo tecnológico</topic>
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<topic>Inteligencia artificial</topic>
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<topic>Creación de valor en la empresa</topic>
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