IAA-AITF/Actuarial-AI-Case-Studies
A curated collection of actuarial AI case studies covering machine learning, generative AI, agentic AI, and more, designed to support actuaries in applying AI to real-world problems.
This collection provides practical examples of how artificial intelligence can solve common actuarial challenges. It takes real-world actuarial problems as input and demonstrates various AI techniques, such as machine learning and generative AI, to produce solutions like enhanced claim cost predictions, automated data analysis reports, or market comparisons. Actuaries, data scientists working in insurance, and risk managers will find this useful for applying AI to their work.
Use this if you are an actuary or data professional looking for concrete, practical examples of how to apply AI techniques to solve specific problems within the actuarial domain.
Not ideal if you are looking for a plug-and-play software tool or an introductory guide to the basics of AI without a specific actuarial context.
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Mar 10, 2026
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