AI-DRIVEN INNOVATION IN INSURANCE: A TECHNICAL IMPLEMENTATION GUIDE

Authors

  • Bhaskara Srinivas Beeraka American Family Insurance, USA Author

Keywords:

Artificial Intelligence In Insurance, Machine Learning, Computer Vision, Fraud Detection, Predictive Analytics

Abstract

The integration of artificial intelligence in the insurance industry has revolutionized traditional operations across multiple product lines, including Commercial Auto Insurance, General Liability Insurance, and Business Owner's Policy. This technical article examines the implementation of AI solutions in core insurance processes, focusing on advanced underwriting systems, computer vision for claims processing, fraud detection mechanisms, and predictive analytics frameworks. The article explores how insurers leverage machine learning, computer vision, and natural language processing to transform their business models while addressing technical challenges in data management, system integration, performance optimization, and model transparency. The article demonstrates how AI implementation significantly improves processing efficiency, operational accuracy, cost reduction, and customer satisfaction. It provides a comprehensive framework for insurance providers seeking to enhance their operational capabilities through AI integration.

References

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Published

2025-01-08

How to Cite

Bhaskara Srinivas Beeraka. (2025). AI-DRIVEN INNOVATION IN INSURANCE: A TECHNICAL IMPLEMENTATION GUIDE. INTERNATIONAL JOURNAL OF RESEARCH IN COMPUTER APPLICATIONS AND INFORMATION TECHNOLOGY (IJRCAIT), 8(1), 94-101. http://ijrcait.com/index.php/home/article/view/IJRCAIT_08_01_010