Vol. 3 No. 2 (2023): African Journal of Artificial Intelligence and Sustainable Development
Articles

AI-Enhanced Forecasting Models for Insurance Claims

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  • Dr. Imad Hout
Dr. Imad Hout
Associate Professor of Computer Science, American University of Beirut (AUB)
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Published 12-12-2023

Keywords

  • AI-Enhanced Forecasting Models,
  • Insurance Claims
Creative Commons License

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

How to Cite

[1]
D. I. Hout, “AI-Enhanced Forecasting Models for Insurance Claims”, African J. of Artificial Int. and Sust. Dev., vol. 3, no. 2, pp. 370–382, Dec. 2023, Accessed: Nov. 16, 2024. [Online]. Available: https://africansciencegroup.com/index.php/AJAISD/article/view/192

Abstract

Forecasting is widely recognized as a valuable tool. It gives business experts the ability to guide decision-makers by providing estimates of future outcomes using historical and current data. Businesses have always tried to apply the knowledge and expertise of specialist data scientists in forecasting to gain insights from vast amounts of data. These insights help judge the expected future outcomes and use these probabilities in making better business decisions. Business abstracts, like most business transactions, entail a degree of danger, and forecasting aids in mitigating that risk.

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