Driving Innovation in Insurance Products with Intelligent Technologies and Machine Learning

Authors

  • Sanket Das

Keywords:

Insurance Innovation, Machine Learning, Product Development, Predictive Analytics, Risk Patterns, Customer-Centric Solutions

Abstract

The insurance sector is undergoing a significant transformation with the integration of intelligent technologies and machine learning (ML), enabling the development of innovative, customer-centric products. This study explores how ML models evaluate extensive datasets, including customer behavior, market trends, and risk profiles, to design customized insurance policies that address evolving consumer needs.

References

Kasaraneni, B.P., 2021. AI-Driven Policy Administration in Life Insurance: Enhancing Efficiency, Accuracy, and Customer Experience. Journal of Artificial Intelligence Research and Applications, 1(1), pp.407-458. [2] Nicoletti, B., 2020. Insurance 4.0: Benefits and challenges of digital transformation. Springer Nature.

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Published

2022-10-20

How to Cite

Sanket Das. (2022). Driving Innovation in Insurance Products with Intelligent Technologies and Machine Learning. Journal of Computational Analysis and Applications (JoCAAA), 30(2), 439–459. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/1977

Issue

Vol. 30 No. 2 (2022): JOCAAA

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.