The Evolution of Life Insurance Mortality Modeling: A Conversation About What’s Next with LexisNexis® Risk Classifier
What's Next for Mortality Modeling in Life Insurance?
As life insurance underwriting becomes increasingly data-driven, how can insurers make better use of medical and non-medical information to understand mortality risk?
Join LexisNexis Risk Solutions for an expert conversation exploring the latest evolution of LexisNexis® Risk Classifier, a configurable mortality modeling solution designed to support a range of life insurance underwriting strategies.
The discussion will examine how expanded data sources, more granular risk attributes, and AI-driven modeling techniques can help insurers gain deeper insights and approach risk segmentation with greater flexibility.
What You'll Learn
- How the latest Risk Classifier evolution expands modeling and data-source options.
- How combining medical and non-medical information can support more precise mortality risk segmentation.
- How AI-driven transformer models use event timing, sequence, and context to identify complex risk relationships.
- Why model testing, explainability, and ongoing monitoring matter when applying advanced analytics.
Meet the Speakers
The webinar brings together three LexisNexis Risk Solutions leaders with expertise spanning life insurance strategy, product innovation, and advanced data science.
Justin Baker
LexisNexis Risk Solutions
Justin brings more than 20 years of insurance industry experience. He leads life insurance market strategy and supports innovation and product development across underwriting solutions. His background includes leadership positions at COUNTRY Financial, where he previously served as Vice President of Life and Health Administration.
Christopher Rice
LexisNexis Risk Solutions
With more than 25 years of experience in insurance data and analytics, Christopher leads a diverse product portfolio covering multiple insurance markets. His expertise includes predictive modeling, artificial intelligence, and transforming advanced analytics into practical solutions that improve business performance and decision-making.
Patrick Sugent
LexisNexis Risk Solutions
Patrick specializes in applying artificial intelligence and machine learning to insurance analytics. His work focuses on using advanced data and predictive modeling to strengthen life insurance risk assessment, accelerate underwriting processes, and improve customer experiences through data-driven innovation.
The Evolution of Life Insurance Mortality Modeling
Tuesday, November 10, 2026
2:00 PM Eastern Time
Online Webinar
Register for the Webinar →Hosted by LexisNexis Risk Solutions. Shared with the insurance industry community by InsurTech Express.