Episode 13 of Marsh FINPRO’s Powered By podcast series examines directors & officers (D&O) risk through the practical lens of analytics, with Marsh experts Mike Carls and Allison (Allie) Pan explaining how broad data sets and proprietary claims history feed predictive models that anticipate both frequency and severity of suits. They show why D&O is a powerful prism for enterprise risk—how market signals, valuation shifts, M&A, and operational events can trigger investor losses—and how models are pressuretested and translated into limit-adequacy conversations at the board level. Listeners will get a clear sense of the questions insurers and executives should be asking to turn numbers into action: what to protect, how much to buy, and how to measure the value of every premium dollar.
The conversation then pivots to emerging risks in energy and power, where rapid demand growth, geopolitical supply-chain pressures, wildfire liability, and cyber-to-physical threats are reshaping historically stable utilities. Allie and Mike discuss the modeling challenges these uncertainties pose—when to use stochastic scenarios, when to pull in physics or sensor data, and why tail risks (beyond the 99th percentile) matter for resilience. The episode is full of practical insights and examples for risk managers and executives who want analytics that not only forecast exposures but help them design efficient insurance strategies and long-term mitigation plans—making it a must-listen for anyone responsible for enterprise risk in volatile sectors.