The Role of Generative AI in Insurance Data Processing

Kishore Ande; Dr. Pooja Sharma

doi:10.36676/urr.v12.i1.1485

Authors

Kishore Ande CVS Health, 1 CVS Drive, Woonsocket, RI, 02895, United States.
Dr. Pooja Sharma IIMT University Meerut, U.P. India https://orcid.org/0000-0003-4432-726X

DOI:

https://doi.org/10.36676/urr.v12.i1.1485

Keywords:

Generative AI, insurance data processing, claims management, underwriting, risk evaluation, predictive analytics, customer personalization, document automation, fraud detection, issues in AI deployment, unstructured data, insurance automation, data privacy, AI deployment in insurance.

Abstract

The application of Generative Artificial Intelligence (AI) in insurance data processing has attracted a lot of attention given its potential to transform numerous areas of the business. Although AI-based technologies have been employed to improve operational efficiency, risk management, customer service, and fraud detection, there is a significant research gap in understanding the application of Generative AI in the insurance data processing industry. The aim of this study is to investigate the role of Generative AI in redefining important processes such as claims processing, underwriting, risk assessment, customer personalization, and document automation in the insurance industry. By overcoming the limitations with traditional models that are dependent on structured data, this study examines how Generative AI can assist in the processing of unstructured data, enhance predictive analytics, and ease decision-making processes. Additionally, the study seeks to assess the challenges that insurers encounter in embracing generative AI, including data privacy, model interpretability, and the integration of AI into current workflows.

References

• Tase, J. (2024). Generative AI in Insurance Industries: Transforming Workflows and Enhancing Customer Experience. International Research Journal of Engineering Science Technology and Innovation, 11(7).

• KPMG. (2023). Generative Artificial Intelligence (AI) in the Insurance Sector: A Revolution in the Making. KPMG.

• Society of Actuaries. (2024). A Primer on Generative AI for Actuaries. Society of Actuaries.

• Pingili, R. (2024). The Integration of Generative AI in RPA for Enhanced Insurance Claims Processing. Journal of Advanced Research Engineering and Technology, 3(2), 38-52.

• Cote, M.-P., Hartman, B., Mercier, O., Meyers, J., Cummings, J., & Harmon, E. (2020). Synthesizing Property & Casualty Ratemaking Datasets using Generative Adversarial Networks. arXiv preprint arXiv:2008.06110.

• Kuo, K. (2019). Generative Synthesis of Insurance Datasets. arXiv preprint arXiv:1912.02423.

• Lin, C., Lyu, H., Luo, J., & Xu, X. (2024). Harnessing GPT-4V(ision) for Insurance: A Preliminary Exploration. arXiv preprint arXiv:2404.09690.

• Flaig, S., & Junike, G. (2021). Scenario Generation for Market Risk Models using Generative Neural Networks. arXiv preprint arXiv:2109.10072.