Dynamic Risk Signal Processing and Adaptive Underwriting Intelligence: Real-Time AI Frameworks for Insurance Risk Assessment and Policy Adjustment

Authors

  • Maria Fox Professor of Computer Science, King's College London

Keywords:

dynamic risk signal processing, adaptive underwriting intelligence, real-time ai frameworks, insurance risk assessment, machine learning

Abstract

In order to make the most accurate and informed decisions, individuals need to have the most up-to-date information relayed to them through a policy that guarantees data about the real-time environment. Stakeholders require a good understanding of the importance of discussing instantaneous data for the insurance industry, particularly with regard to timely risk management.

Downloads

Published

30-06-2024

How to Cite

[1]
“Dynamic Risk Signal Processing and Adaptive Underwriting Intelligence: Real-Time AI Frameworks for Insurance Risk Assessment and Policy Adjustment”, Human-Computer Interaction Persp., vol. 4, no. 1, pp. 82–92, Jun. 2024, Accessed: Jun. 04, 2026. [Online]. Available: https://thesciencebrigade.com/hcip/article/view/799