Monitoring, Updating, and Deployment of Pricing Models in the Age of AI

Insurance pricing models drift further out of line with reality over time as conditions shift and change. This talk examines practical approaches to monitoring model performance, implementing updates efficiently, and deploying changes seamlessly to production. Over the last year, AI tooling has become increasingly integrated into actuarial workflows. This is enabling Pricing teams to detect model drift faster, without over-reacting to noisy data, as well as to automate more of the routine manual tasks that they face. The result is Pricing teams that can respond more quickly to changeable market conditions and that can dedicate more attention to complex challenges that require genuine actuarial judgment.