Predicting Wildfires, Worker Injury with Better Risk Data

Improving risk data not only helps predict potential losses but also makes it possible to incentivize and measure risk prevention. In this episode, Pete talks with Kevin Stein, CEO and Co-Founder at Delos Insurance, and Sean Petterson, CEO and Founder of StrongArm Technologies, about how they are using data for insights that can predict potential losses from wildfires and unsafe worker activities.

Segment 1: (0:02:14) Pete and Kevin discuss how risk models aren’t keeping up with changes in wildfires, the power of AI for more precise forecasts, using data for mitigation recommendations and incentives, insurance challenges caused by deficient data, and why insurance must remain open to new approaches.

Segment 2: (0:27:57) Pete talks with Sean about his personal motivation to make workers safer, pivoting to wearables for actionable data, ergonomic movement analysis, real-time worker feedback to prevent risk, changing culture key to safety innovation, and using data to show the ROI of injury prevention.