Model behavior : applications of artificial intelligence in actuarial science
<?xml version="1.0" encoding="UTF-8"?><modsCollection xmlns="http://www.loc.gov/mods/v3" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-8.xsd">
<mods version="3.8">
<titleInfo>
<title>Model behavior</title>
<subTitle>: applications of artificial intelligence in actuarial science</subTitle>
</titleInfo>
<typeOfResource>text</typeOfResource>
<genre authority="marcgt">periodical</genre>
<originInfo>
<place>
<placeTerm type="code" authority="marccountry">usa</placeTerm>
</place>
<dateIssued encoding="marc">2019</dateIssued>
<issuance>serial</issuance>
</originInfo>
<language>
<languageTerm type="code" authority="iso639-2b">eng</languageTerm>
</language>
<physicalDescription>
<form authority="marcform">print</form>
</physicalDescription>
<abstract displayLabel="Abstract">I recently attended a seminar on artificial intelligence (AI) by Ajay Agrawal, Ph.D. I think Agrawal's book, Prediction Machines: The Simple Economics of Artificial Intelligence (Harvard Business Review Press, 2018), is a must-read for any actuary who would like to get some understanding of the emerging world of artificial intelligence and how it can impact the work we do as actuaries.</abstract>
<note type="statement of responsibility">Jay Vadiveloo</note>
<subject xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="MAPA20080627904">
<topic>Ciencias Actuariales y Financieras</topic>
</subject>
<subject xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="MAPA20080611200">
<topic>Inteligencia artificial</topic>
</subject>
<subject xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="MAPA20080549497">
<topic>Actuarios</topic>
</subject>
<subject xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="MAPA20170005476">
<topic>Machine learning</topic>
</subject>
<subject xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="MAPA20080566975">
<topic>Profesionales</topic>
</subject>
<subject xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="MAPA20100030493">
<topic>Business intelligence</topic>
</subject>
<classification authority="">6</classification>
<relatedItem type="host">
<titleInfo>
<title>Contingencies : American Academy of Actuaries</title>
</titleInfo>
<originInfo>
<publisher>Washington : American Academy of Actuaries, 2019-2024</publisher>
</originInfo>
<identifier type="local">MAP20190020794</identifier>
<part>
<text>01/11/2019 Año 2019 - November-December , p. 20-25</text>
</part>
</relatedItem>
<recordInfo>
<recordContentSource authority="marcorg">MAP</recordContentSource>
<recordCreationDate encoding="marc">200324</recordCreationDate>
<recordChangeDate encoding="iso8601">20220911191022.0</recordChangeDate>
<recordIdentifier source="MAP">MAP20200009573</recordIdentifier>
<languageOfCataloging>
<languageTerm type="code" authority="iso639-2b">spa</languageTerm>
</languageOfCataloging>
</recordInfo>
</mods>
</modsCollection>