About This Event
Advanced analytics, external data, and machine learning can help insurers make sharper decisions and improve portfolio performance. But as these approaches become more sophisticated, they can also become harder to move through the regulatory process.
So how do you keep innovating without creating unnecessary regulatory risk?
This session will examine how insurers can strengthen risk segmentation and profitability while still meeting expectations around transparency and fairness, including anti-discrimination requirements. We’ll look at how to design pricing and rating structures with regulators in mind, then make complex models easier to explain and defend.
We’ll also discuss how to build governance that holds up under scrutiny and turn analytical insights into practical pricing and underwriting actions that help steer the portfolio.
Join us for a practical look at how insurers can keep moving forward when the room to maneuver is getting tighter.
