A Tour of AI technologies in time series prediction
<?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">MAP20200020073</controlfield>
<controlfield tag="003">MAP</controlfield>
<controlfield tag="005">20230321113244.0</controlfield>
<controlfield tag="008">200327s2019 usa|||| ||| ||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="100" ind1="1" ind2=" ">
<subfield code="0">MAPA20200014041</subfield>
<subfield code="a">Zhang, Victoria </subfield>
</datafield>
<datafield tag="245" ind1="1" ind2="2">
<subfield code="a">A Tour of AI technologies in time series prediction</subfield>
<subfield code="c">Victoria Zhang</subfield>
</datafield>
<datafield tag="260" ind1=" " ind2=" ">
<subfield code="a">Schaumburg (Illinois)</subfield>
<subfield code="b">Society of Actuaries </subfield>
<subfield code="c">2019</subfield>
</datafield>
<datafield tag="300" ind1=" " ind2=" ">
<subfield code="a">38 p.</subfield>
</datafield>
<datafield tag="490" ind1="0" ind2=" ">
<subfield code="a">Innovation and Technology</subfield>
</datafield>
<datafield tag="520" ind1=" " ind2=" ">
<subfield code="a">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.</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">MAPA20080586546</subfield>
<subfield code="a">Nuevas tecnologías</subfield>
</datafield>
<datafield tag="650" ind1=" " ind2="4">
<subfield code="0">MAPA20130003108</subfield>
<subfield code="a">Innovación disruptiva</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">MAPA20080605674</subfield>
<subfield code="a">Desarrollo tecnológico</subfield>
</datafield>
<datafield tag="710" ind1="2" ind2=" ">
<subfield code="0">MAPA20080444044</subfield>
<subfield code="a">Society of Actuaries (United States)</subfield>
</datafield>
</record>
</collection>