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Potential data sources for life insurance AI modelling

ByBartosz Gaweda, Christoph Krischanitz, Rémi Bellina, Jeff Anderson, Joe Long, Noriyuki Kogo, Saiki Makino, and Scott Chow
22 April 2022

Every day, more than 2.5 quintillion bytes of data are created, and that pace is only accelerating. Big data, combined with the increased usage of machine learning algorithms, allows the life insurance industry to model the surrounding world much more effectively than in the past. Insurers can better understand underwriting risks, improve customer service, and lower costs. Better data can also improve the health of customers. In this report, we explore in detail what kind of data can be used to achieve these goals, and its limitations.


About the Author(s)

Bartosz Gaweda

Christoph Krischanitz

Saiki Makino

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