
As catastrophe losses continue to climb, the pressure on reinsurers, insurers and brokers to refine risk selection and pricing has never been greater. Global insured cat losses have averaged more than $100bn annually in recent years, with 2023 and 2024 both exceeding that threshold and secondary perils driving a growing share of claims. At the same time, cat modelling teams are being asked to run more scenarios, incorporate new data sources and deliver faster insights, often with limited resources.
Artificial intelligence is emerging as a potential solution, promising greater speed, enhanced pattern recognition and more dynamic modelling capabilities. But integrating AI into catastrophe modelling workflows introduces its own challenges, from data quality and model validation to regulatory scrutiny and trust in outputs.
Join Insurance Insider in partnership with Verisk for a free webinar on September 22, as we explore where AI is delivering real efficiency gains, where it falls short and how companies can balance innovation with discipline in an increasingly volatile risk environment.