THE TRANSFORMATIVE IMPACT OF AI ON INSURANCE UNDERWRITING: A TECHNICAL ANALYSIS

Authors

  • Harsha Vardhan Reddy Yeddula Cognizant Technologies US Corp, USA Author

Keywords:

Artificial Intelligence, Insurance Underwriting, Machine Learning, Predictive Analytics, Risk Assessment

Abstract

This comprehensive technical article explores the transformative impact of artificial intelligence on insurance underwriting processes. The article examines how AI technologies are revolutionizing traditional underwriting methods through advanced data processing, machine learning architectures, and automated systems. The article investigates key implementation areas including risk assessment, predictive analytics, dynamic pricing systems, and fraud detection frameworks, while also addressing technical challenges in data privacy, system integration, and model monitoring. The article demonstrates how AI-driven solutions are enhancing operational efficiency, improving risk assessment accuracy, and enabling more sophisticated pricing models while maintaining regulatory compliance and data security. Through examination of various implementation features and future technical directions, the article provides insights into how AI is reshaping the insurance industry's approach to risk evaluation and policy management.

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Published

2025-02-11

How to Cite

Harsha Vardhan Reddy Yeddula. (2025). THE TRANSFORMATIVE IMPACT OF AI ON INSURANCE UNDERWRITING: A TECHNICAL ANALYSIS. INTERNATIONAL JOURNAL OF RESEARCH IN COMPUTER APPLICATIONS AND INFORMATION TECHNOLOGY (IJRCAIT), 8(1), 2214-2229. http://ijrcait.com/index.php/home/article/view/IJRCAIT_08_01_161