AI-Enhanced Predictive Analytics for Insurance Claim Frequency

Authors

  • Dr. Heejin Choi Professor of Computer Science, Gwangju Institute of Science and Technology (GIST) Author

Keywords:

Predictive Analytics, Insurance Claim

Abstract

This paper is concerned with AI-enhanced predictive analytics, which has been penetrating diverse areas of life, firms' activities, and public and private organizations for the last two decades. In the insurance business, AI technologies have been getting ever deeper integration with the peculiar characteristics of the various sectors of the industry, with the aim of rewriting the traditional paradigms of operations and decision-making. Understanding the grounding principles and the issues of predictive analytics, possibly enhanced by AI technologies, is of paramount importance not only for researchers but also primarily for practitioners. In this paper, we focus specifically on one dimension of AI-PA, that is, AI-PA for insurance claim frequency.

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Published

15-11-2023

How to Cite

[1]
D. H. Choi, “AI-Enhanced Predictive Analytics for Insurance Claim Frequency”, J. of Artificial Int. Research and App., vol. 3, no. 2, pp. 696–708, Nov. 2023, Accessed: Nov. 14, 2024. [Online]. Available: https://aimlstudies.co.uk/index.php/jaira/article/view/277

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