Search

A Tour of AI technologies in time series prediction

<?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>
<nonSort xml:space="preserve">A  </nonSort>
<title>Tour of AI technologies in time series prediction</title>
</titleInfo>
<name type="personal" usage="primary" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="MAPA20200014041">
<namePart>Zhang, Victoria </namePart>
<nameIdentifier>MAPA20200014041</nameIdentifier>
</name>
<name type="corporate" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="MAPA20080444044">
<namePart>Society of Actuaries (United States)</namePart>
<nameIdentifier>MAPA20080444044</nameIdentifier>
</name>
<typeOfResource>text</typeOfResource>
<originInfo>
<place>
<placeTerm type="code" authority="marccountry">usa</placeTerm>
</place>
<issuance>monographic</issuance>
<place>
<placeTerm type="text">Schaumburg (Illinois)</placeTerm>
</place>
<publisher>Society of Actuaries</publisher>
<dateIssued>2019</dateIssued>
</originInfo>
<language>
<languageTerm type="code" authority="iso639-2b">eng</languageTerm>
</language>
<physicalDescription>
<form authority="marcform">print</form>
<extent>38 p.</extent>
</physicalDescription>
<abstract displayLabel="Summary">Over the past few years, Artificial Intelligence (AI) technologies such as Machine Learning (ML) and Deep Neural Networks (DNN) or Deep Learning (DL) have become a very hot topic in many areas. The emerging field of DNNs was created around the concept of biological neural networks and has been widely applied in many fields. AI technologies have been used for computer vision, speech recognition, autonomous driving, etc. and have demonstrated remarkable results. McKinsey predicts that AI techniques have the potential to create between $3.5T and $5.8T in value annually across nine business functions in 19 industries. However, even with the buzzwords around for a few years, AI is still very new to the actuarial field.</abstract>
<note type="statement of responsibility">Victoria Zhang</note>
<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="MAPA20080586546">
<topic>Nuevas tecnologías</topic>
</subject>
<subject xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="MAPA20130003108">
<topic>Innovación disruptiva</topic>
</subject>
<subject xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="MAPA20080568009">
<topic>Automatización</topic>
</subject>
<subject xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="MAPA20080605674">
<topic>Desarrollo tecnológico</topic>
</subject>
<classification authority="">922.134</classification>
<relatedItem type="series">
<titleInfo>
<title>Innovation and Technology</title>
</titleInfo>
</relatedItem>
<recordInfo>
<recordContentSource authority="marcorg">MAP</recordContentSource>
<recordCreationDate encoding="marc">200327</recordCreationDate>
<recordChangeDate encoding="iso8601">20230321113244.0</recordChangeDate>
<recordIdentifier source="MAP">MAP20200020073</recordIdentifier>
<languageOfCataloging>
<languageTerm type="code" authority="iso639-2b">spa</languageTerm>
</languageOfCataloging>
</recordInfo>
</mods>
</modsCollection>