The AI-powered enterprise : unlocking the potential of AI at scale
<?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">MAP20200026938</controlfield>
<controlfield tag="003">MAP</controlfield>
<controlfield tag="005">20220912143619.0</controlfield>
<controlfield tag="008">200416s2020 fra|||| ||| ||eng 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">922.134</subfield>
</datafield>
<datafield tag="245" ind1="1" ind2="4">
<subfield code="a">The AI-powered enterprise</subfield>
<subfield code="b">: unlocking the potential of AI at scale</subfield>
</datafield>
<datafield tag="260" ind1=" " ind2=" ">
<subfield code="a">Paris [etc.]</subfield>
<subfield code="b">Capgemini Research Institute</subfield>
<subfield code="c">2020</subfield>
</datafield>
<datafield tag="300" ind1=" " ind2=" ">
<subfield code="a">40 p.</subfield>
</datafield>
<datafield tag="520" ind1=" " ind2=" ">
<subfield code="a">Artificial intelligence offers the chance to change the way we do business, from delivering operational efficiency to massively increasing our understanding of customers and markets. As a result, companies across sectors are engaged in an AI arms race, with investments pouring into AI startups across industries. Just in the US, AI-related firms had raised $18.5 bn in investment by 2019. This report draws on a survey of 950 organizations, with at least one billion dollars in annual revenues and ongoing AI initiatives, as well as in-depth interviews with relevant executives. The research shows that over 50% of organizations have moved beyond pilots and proofs of concept. Although the ones reaching wide-scale, with use cases in production across numerous teams, are only 13%, they are able to reap substantial benefits, including growth in their toplines.</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">MAPA20080605674</subfield>
<subfield code="a">Desarrollo tecnológico</subfield>
</datafield>
<datafield tag="650" ind1=" " ind2="4">
<subfield code="0">MAPA20080586546</subfield>
<subfield code="a">Nuevas tecnologías</subfield>
</datafield>
<datafield tag="650" ind1=" " ind2="4">
<subfield code="0">MAPA20080606091</subfield>
<subfield code="a">Estrategia empresarial</subfield>
</datafield>
<datafield tag="650" ind1=" " ind2="4">
<subfield code="0">MAPA20080554866</subfield>
<subfield code="a">Innovación</subfield>
</datafield>
<datafield tag="650" ind1=" " ind2="4">
<subfield code="0">MAPA20080550592</subfield>
<subfield code="a">Encuestas</subfield>
</datafield>
<datafield tag="710" ind1="2" ind2=" ">
<subfield code="0">MAPA20200008163</subfield>
<subfield code="a">Capgemini Research Institute</subfield>
</datafield>
</record>
</collection>