Technical analysis: AI transformation in property and casualty insurance

This technical article explores how artificial intelligence is transforming property and casualty insurance across multiple operational dimensions. The integration of advanced machine learning techniques is creating a paradigm shift from reactive, manual processes to proactive, data-driven operations throughout the insurance value chain. From predictive underwriting algorithms and catastrophe modeling to commercial risk assessment and dynamic pricing models, AI technologies are enabling unprecedented gains in efficiency, accuracy, and customer experience. The implementation of recommendation engines, conversational interfaces, and human-AI collaboration frameworks is further revolutionizing customer interactions while creating more personalized insurance experiences. Additionally, the development of comprehensive bias detection systems, regulatory compliance architectures, and ethical safeguards ensures that these technological innovations maintain fairness and transparency in an increasingly complex regulatory landscape.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-31
DOI
https://doi.org/10.5281/zenodo.17300240
Primary Topic
Impact of AI and Big Data on Business and Society
Type
article
Field-Weighted Citation Impact
0.00
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article

Technical analysis: AI transformation in property and casualty insurance

Zenodo (CERN European Organization for Nuclear Research)
Impact of AI and Big Data on Business and Society
article

Technical analysis: AI transformation in property and casualty insurance

article en

Abstract

This technical article explores how artificial intelligence is transforming property and casualty insurance across multiple operational dimensions. The integration of advanced machine learning techniques is creating a paradigm shift from reactive, manual processes to proactive, data-driven operations throughout the insurance value chain. From predictive underwriting algorithms and catastrophe modeling to commercial risk assessment and dynamic pricing models, AI technologies are enabling unprecedented gains in efficiency, accuracy, and customer experience. The implementation of recommendation engines, conversational interfaces, and human-AI collaboration frameworks is further revolutionizing customer interactions while creating more personalized insurance experiences. Additionally, the development of comprehensive bias detection systems, regulatory compliance architectures, and ethical safeguards ensures that these technological innovations maintain fairness and transparency in an increasingly complex regulatory landscape.

Zenodo (CERN European Organization for Nuclear Research)
Cognizant (United States) (US)
Openalex Percentile: Top 39%
Impact of AI and Big Data on Business and Society
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Technical analysis: AI transformation in property and casualty insurance · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS