Dynamic Risk Classification and Premium Calibration Through Streaming Analytics: A Real-Time Machine Learning Framework for Insurance Underwriting Optimisation

Authors

  • Bengi Gönen Associate Professor of Electrical and Electronics Engineering, Middle East Technical University

Keywords:

dynamic risk classification, premium calibration, streaming analytics, real-time machine learning framework, insurance underwriting optimisation

Abstract

Underwriting processes have moved from the company's headquarters to the cloud. At the same time, financial and insurance markets are ardently adopting artificial intelligence-based solutions, with those technologies and processes enabling superhuman performance in many applications. The data-driven approaches, and thus the AI, are gradually yet significantly overthrowing the old deductive manner, which may have seemed to be quite economically justified in the recent past.

Downloads

Published

31-12-2024

How to Cite

[1]
“Dynamic Risk Classification and Premium Calibration Through Streaming Analytics: A Real-Time Machine Learning Framework for Insurance Underwriting Optimisation”, Cybersecurity & Net. Def. Research, vol. 4, no. 2, pp. 12–19, Dec. 2024, Accessed: Jun. 05, 2026. [Online]. Available: https://thesciencebrigade.com/cndr/article/view/872