Search

Insurance 2030 : the impact of AI on the future of insurance

<?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">MAP20210011153</controlfield>
    <controlfield tag="003">MAP</controlfield>
    <controlfield tag="005">20220911190046.0</controlfield>
    <controlfield tag="008">180511e20210301usa||||       ||| ||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">216</subfield>
    </datafield>
    <datafield tag="100" ind1="1" ind2=" ">
      <subfield code="0">MAPA20180006548</subfield>
      <subfield code="a">Balasubramanian, Ramnath</subfield>
    </datafield>
    <datafield tag="245" ind1="1" ind2="0">
      <subfield code="a">Insurance 2030</subfield>
      <subfield code="b">: the impact of AI on the future of insurance</subfield>
      <subfield code="c">Ramnath Balasubramanian, Ari Libarikian, and Doug McElhaney</subfield>
    </datafield>
    <datafield tag="260" ind1=" " ind2=" ">
      <subfield code="a">New York</subfield>
      <subfield code="b">McKinsey & Company</subfield>
      <subfield code="c">2021</subfield>
    </datafield>
    <datafield tag="300" ind1=" " ind2=" ">
      <subfield code="a">10 p.</subfield>
    </datafield>
    <datafield tag="490" ind1="0" ind2=" ">
      <subfield code="a">Insurance practice</subfield>
    </datafield>
    <datafield tag="520" ind1=" " ind2=" ">
      <subfield code="a">Welcome to the future of insurance, as seen through the eyes of Scott, a customer in the year 2030. His digital personal assistant orders him a vehicle with self-driving capabilities for a meeting across town. Upon hopping into the arriving car, Scott decides he wants to drive today and moves the car into active mode. Scott's personal assistant maps out a potential route and shares it with his mobility insurer, which immediately responds with an alternate route that has a much lower likelihood of accidents and auto damage as well as the calculated adjustment to his monthly premium. Scott's assistant notifies him that his mobility insurance premium will increase by 4 to 8 percent based on the route he selects and the volume and distribution of other cars on the road. It also alerts him that his life insurance policy, which is now priced on a pay-as-you-live basis, will increase by 2 percent for this quarter. The additional amounts are automatically debited from his bank account.</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">MAPA20110024864</subfield>
      <subfield code="a">Modelos de negocio</subfield>
    </datafield>
    <datafield tag="650" ind1=" " ind2="4">
      <subfield code="0">MAPA20080586294</subfield>
      <subfield code="a">Mercado de seguros</subfield>
    </datafield>
    <datafield tag="650" ind1=" " ind2="4">
      <subfield code="0">MAPA20080568641</subfield>
      <subfield code="a">Digitalización</subfield>
    </datafield>
    <datafield tag="700" ind1="1" ind2=" ">
      <subfield code="0">MAPA20140014996</subfield>
      <subfield code="a">Libarikian, Ari</subfield>
    </datafield>
    <datafield tag="700" ind1="1" ind2=" ">
      <subfield code="0">MAPA20180006555</subfield>
      <subfield code="a">McElhaney, Doug</subfield>
    </datafield>
    <datafield tag="710" ind1="2" ind2=" ">
      <subfield code="0">MAPA20080442569</subfield>
      <subfield code="a">McKinsey & Company</subfield>
    </datafield>
  </record>
</collection>