AI in automotive
Contenido multimedia no disponible por derechos de autor o por acceso restringido. Contacte con la institución para más información.
| Tag | 1 | 2 | Valor |
|---|---|---|---|
| LDR | 00000cam a22000004b 4500 | ||
| 001 | MAP20200016366 | ||
| 003 | MAP | ||
| 005 | 20220911190914.0 | ||
| 008 | 200513s2020 esp|||| ||| ||spa d | ||
| 040 | $aMAP$bspa$dMAP | ||
| 084 | $a892 | ||
| 245 | 1 | 0 | $aAI in automotive |
| 260 | $aSunnyvale, CA$bNetApp$c2020 | ||
| 300 | $a23 p. | ||
| 520 | $aOrganizations 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. | ||
| 650 | 4 | $0MAPA20080611200$aInteligencia artificial | |
| 650 | 4 | $0MAPA20080582494$aSector automoción | |
| 650 | 4 | $0MAPA20080621100$aConducción automovilística | |
| 650 | 4 | $0MAPA20150019967$aVehículos autónomos | |
| 650 | 4 | $0MAPA20110017835$aMovilidad | |
| 710 | 2 | $0MAPA20200011545$aNetApp |