Accelerating automotive's AI transformation : how driving AI enterprise-wide can turbo-charge organizational value
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| Tag | 1 | 2 | Value |
|---|---|---|---|
| LDR | 00000cam a22000004b 4500 | ||
| 001 | MAP20200027126 | ||
| 003 | MAP | ||
| 005 | 20220911190641.0 | ||
| 008 | 200416s2020 fra|||| ||| ||eng d | ||
| 040 | $aMAP$bspa$dMAP | ||
| 084 | $a921.8 | ||
| 245 | 1 | 0 | $aAccelerating automotive's AI transformation$b: how driving AI enterprise-wide can turbo-charge organizational value$cMarkus Winkler...[Et al.] |
| 260 | $aParis [etc.]$bCapgemini Research Institute$c2019 | ||
| 300 | $a36 p. | ||
| 520 | $aArtificial 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. | ||
| 650 | 4 | $0MAPA20080617219$aIndustria automovilística | |
| 650 | 4 | $0MAPA20080610845$aFábricas de automóviles | |
| 650 | 4 | $0MAPA20080605674$aDesarrollo tecnológico | |
| 650 | 4 | $0MAPA20080586546$aNuevas tecnologías | |
| 650 | 4 | $0MAPA20080611200$aInteligencia artificial | |
| 650 | 4 | $0MAPA20080626822$aCreación de valor en la empresa | |
| 700 | 1 | $0MAPA20200018100$aWinkler, Markus | |
| 710 | 2 | $0MAPA20200008163$aCapgemini Research Institute |