This webcast is part of our 2026 Underwriting Webcast Series, a new program that continues the practical, collaborative learning of the Underwriting Innovations Symposium with a virtual format accessible to everyone. The series is split into two parts in August and October each with two webcasts that build toward an interactive case study. Join the learning journey now!
The life insurance underwriting industry is moving quickly as AI-powered risk assessment tools become part of everyday workflows — but technology is only part of the story. Successful deployment requires more than models. It requires trusted evidence, effective governance, operational monitoring, and thoughtful integration into underwriting workflows.
Join a panel of industry experts as they discuss how insurers are applying AI and other emerging tools in underwriting today — from extracting meaningful insights from medical claims data and electronic health records to developing automated monitoring processes and implementing practical governance controls. The discussion will also examine how underwriters, data scientists, and technology teams are adapting their roles as AI becomes more deeply embedded in risk assessment processes. Learn what has worked, what challenges remain, and how organizations can responsibly prepare their people, processes, and governance structures for long-term success.
We highly recommend registering at least one day in advance of the webcast to ensure you receive the access instructions. A confirmation with access instructions is provided shortly after registering, along with a reminder the day before and 1 hour before the webcast. If you do not receive instructions to access the webcast, please email pd@soa.org.
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Participants who require assistive technology as a reasonable accommodation should contact the event organizer in advance so appropriate arrangements can be made.
Webcast Pricing
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Presenter(s)/Moderator(s)
Chris Regione
Sammons Financial Group
Presenter(s)
Matthew Sanford
Sr. Director Business Analysis
Ameriprise Financial
Benjamin Polson
Senior Data Scientist
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