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Case Study 4.9

Natural Language Processing Adoption in Insurance Underwriters: Equity And Access — 2020–2027 Trends

12
Pages
IEEE
Style
~ 12–19 mins
Reading Time
AR/VR Energy InsurTech
Abstract

This case study investigates “Natural Language Processing Adoption in Insurance Underwriters: Equity And Access — 2020–2027 Trends” using a propensity score matching. Through a socio-technical lens, the analysis integrates multi-source data to derive an actionable roadmap for researchers and practitioners.

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Natural Language Processing Adoption in Insurance Underwriters: Equity And Access — 2020–2027 Trends

ABSTRACT
Natural Language Processing Adoption in Insurance Underwriters: Equity And Access — 2020–2027 Trends is unpacked across themes: ethics, change enablement, usability, and interoperability. Limitations and future research paths are noted.
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