Pesquisa de referências

AI in automotive

<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.loc.gov/MARC21/slim http://www.loc.gov/standards/marcxml/schema/MARC21slim.xsd">
  <record>
    <leader>00000cam a22000004b 4500</leader>
    <controlfield tag="001">MAP20200016366</controlfield>
    <controlfield tag="003">MAP</controlfield>
    <controlfield tag="005">20220911190914.0</controlfield>
    <controlfield tag="008">200513s2020    esp||||       ||| ||spa d</controlfield>
    <datafield tag="040" ind1=" " ind2=" ">
      <subfield code="a">MAP</subfield>
      <subfield code="b">spa</subfield>
      <subfield code="d">MAP</subfield>
    </datafield>
    <datafield tag="084" ind1=" " ind2=" ">
      <subfield code="a">892</subfield>
    </datafield>
    <datafield tag="245" ind1="1" ind2="0">
      <subfield code="a">AI in automotive</subfield>
    </datafield>
    <datafield tag="260" ind1=" " ind2=" ">
      <subfield code="a">Sunnyvale, CA</subfield>
      <subfield code="b">NetApp</subfield>
      <subfield code="c">2020</subfield>
    </datafield>
    <datafield tag="300" ind1=" " ind2=" ">
      <subfield code="a">23 p.</subfield>
    </datafield>
    <datafield tag="520" ind1=" " ind2=" ">
      <subfield code="a">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.</subfield>
    </datafield>
    <datafield tag="650" ind1=" " ind2="4">
      <subfield code="0">MAPA20080611200</subfield>
      <subfield code="a">Inteligencia artificial</subfield>
    </datafield>
    <datafield tag="650" ind1=" " ind2="4">
      <subfield code="0">MAPA20080582494</subfield>
      <subfield code="a">Sector automoción</subfield>
    </datafield>
    <datafield tag="650" ind1=" " ind2="4">
      <subfield code="0">MAPA20080621100</subfield>
      <subfield code="a">Conducción automovilística</subfield>
    </datafield>
    <datafield tag="650" ind1=" " ind2="4">
      <subfield code="0">MAPA20150019967</subfield>
      <subfield code="a">Vehículos autónomos</subfield>
    </datafield>
    <datafield tag="650" ind1=" " ind2="4">
      <subfield code="0">MAPA20110017835</subfield>
      <subfield code="a">Movilidad</subfield>
    </datafield>
    <datafield tag="710" ind1="2" ind2=" ">
      <subfield code="0">MAPA20200011545</subfield>
      <subfield code="a">NetApp</subfield>
    </datafield>
  </record>
</collection>