About This Event
Advanced analytics, external data, and machine learning can help insurers make sharper decisions and improve portfolio performance. As these approaches become more sophisticated, however, insurers must also address evolving regulatory expectations and explain increasingly complex models.
How can insurers continue to innovate while maintaining effective regulatory compliance?
This session will examine how insurers can strengthen risk segmentation and portfolio performance while addressing transparency, fairness, and anti-discrimination requirements. We’ll explore how regulatory considerations can be incorporated into the design of pricing and rating structures and how complex models can be made easier to explain and evaluate.
We’ll also discuss governance practices that support effective oversight and ways to turn analytical insights into practical pricing and underwriting actions that help steer the portfolio.
Join us for a practical look at responsible innovation and the intersection of advanced analytics, portfolio performance, and regulatory expectations.
