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Underwriting excellence for the future : machine intelligence will see higher success rate in a post-COVID 19 era

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<title>Underwriting excellence for the future</title>
<subTitle>: machine intelligence will see higher success rate in a post-COVID 19 era</subTitle>
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<namePart>Sharan, Rajeev</namePart>
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<dateIssued>2021</dateIssued>
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<abstract displayLabel="Summary">Accelerated digitalisation and associated large volumes of consumer data in the post COVID-19 era could facilitate greater success of MI projects. To date the adoption rate has been low, with over 95% failure due to lack of high-quality training data. The rise in online purchasing could manifest in MI opportunities for insurers to strengthen underwriting and predictive modelling.</abstract>
<note type="statement of responsibility">Rajeev Sharan</note>
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<topic>Machine learning</topic>
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<topic>Digitalización</topic>
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<subject xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="MAPA20200005599">
<topic>COVID-19</topic>
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<subject xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="MAPA20080552022">
<topic>Pandemias</topic>
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<subject xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="MAPA20080592059">
<topic>Modelos predictivos</topic>
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<subject xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="MAPA20080586294">
<topic>Mercado de seguros</topic>
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<title>Economic insights</title>
<partNumber>Issue 4/2021</partNumber>
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