Part II : 8 use cases for AI in risk management

<?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>00000cab a22000004b 4500</leader>
    <controlfield tag="001">MAP20240014988</controlfield>
    <controlfield tag="003">MAP</controlfield>
    <controlfield tag="005">20240918085650.0</controlfield>
    <controlfield tag="008">240918e2024    usa|| p      |0|||b|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">7</subfield>
    </datafield>
    <datafield tag="100" ind1="1" ind2=" ">
      <subfield code="0">MAPA20200007760</subfield>
      <subfield code="a">O'Neill, Patrick</subfield>
    </datafield>
    <datafield tag="245" ind1="1" ind2="0">
      <subfield code="a">Part II :  8 use cases for AI in risk management</subfield>
      <subfield code="c">Patrick O'Neill</subfield>
    </datafield>
    <datafield tag="520" ind1=" " ind2=" ">
      <subfield code="a">Today more than ever businesses must address increasingly complex risks that can impact their operations and bottom line. Many are turning to artificial intelligence (AI) to help them. AI can empower companies to identify, assess, and mitigate risks in real-time, but to effectively harness this tool, your system must have the right data first. Here are eight ways to use AI in your risk management strategy</subfield>
    </datafield>
    <datafield tag="650" ind1=" " ind2="4">
      <subfield code="0">MAPA20080591182</subfield>
      <subfield code="a">Gerencia de riesgos</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">MAPA20210003813</subfield>
      <subfield code="a">Mitigación de riesgos</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">MAPA20080587598</subfield>
      <subfield code="a">Riesgo operacional</subfield>
    </datafield>
    <datafield tag="650" ind1=" " ind2="4">
      <subfield code="0">MAPA20080568009</subfield>
      <subfield code="a">Automatización</subfield>
    </datafield>
    <datafield tag="650" ind1=" " ind2="4">
      <subfield code="0">MAPA20080615574</subfield>
      <subfield code="a">Tecnologías interactivas</subfield>
    </datafield>
    <datafield tag="650" ind1=" " ind2="4">
      <subfield code="0">MAPA20160007633</subfield>
      <subfield code="a">Ciberriesgos</subfield>
    </datafield>
    <datafield tag="710" ind1="2" ind2=" ">
      <subfield code="0">MAPA20240020637</subfield>
      <subfield code="a">Redhand Advisors</subfield>
    </datafield>
    <datafield tag="773" ind1="0" ind2=" ">
      <subfield code="t">Redhand Advisors.com</subfield>
      <subfield code="g">September 2024 ; 5 p.</subfield>
    </datafield>
    <datafield tag="780" ind1="0" ind2="0">
      <subfield code="w">MAP20240014971</subfield>
      <subfield code="a">O'Neill, Patrick</subfield>
      <subfield code="t">2024 outlook : harness the data boom with the right risk tech</subfield>
    </datafield>
  </record>
</collection>