AI and Climate Risk
In this episode, Dale Hall and guest Carlos Orocha discuss how artificial intelligence (AI) is transforming actuarial approaches to climate risk, both physical hazards and transition challenges. They explain why traditional actuarial methods struggle with non‑stationary, long‑term climate patterns and how AI‑driven machine learning can assess risk at the individual asset level using geolocation, satellite imagery, and diverse data sources. The conversation highlights AI’s role in creating more granular hazard maps, accelerating scenario and stress testing, and translating regulatory and market shifts into measurable actuarial impacts, while emphasizing the need for model governance and professional judgment.
AI Solutions for Life Underwriting
In this episode, Dale Hall interviews Whitney Barnes, Director of Sales for Insurance at Digital Owl, about how AI is transforming life insurance underwriting. Whitney explains how AI can process millions of medical record pages, extract relevant risk factors, and...
Practical AI for Actuarial Modeling
In this episode, Dale Hall talks with Igor Nikitin, CEO of Nice Technologies, about the practical integration of AI into actuarial modeling, especially for pension and longevity risk transfers. Igor outlines concrete AI use cases such as a second‑reviewer for...