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InsurTech for Insurance Underwriters: Data Quality And Bias | A Comparative Perspective

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Esports MLOps UX
Abstract

This report investigates “InsurTech for Insurance Underwriters: Data Quality And Bias | A Comparative Perspective” using a topic modeling on open datasets. Through a socio-technical lens, the analysis integrates multi-source data to derive a validated measurement model for researchers and practitioners.

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InsurTech for Insurance Underwriters: Data Quality And Bias | A Comparative Perspective

ABSTRACT
InsurTech for Insurance Underwriters: Data Quality And Bias | A Comparative Perspective is unpacked across themes: benefits, scalability, costs, and risks. Limitations and future research paths are noted.
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