Irix® Risk Score is an insurtech supertool—but the tech that makes it truly super can be challenging for life insurance underwriters to explain. We’ve added a new product feature that can help.
In this webinar, we’ll debut Risk Score summary, an explainability feature that itemizes the top influencing factors behind each score the sophisticated predictive model returns. The new summary view is an incremental step forward in our ongoing effort to make Risk Score as transparent as possible.
Topics covered
- Why it can be difficult to reconcile clinical and predictive model underwriting paradigms—and why the combination of human and machine works best for risk assessment
- Why Risk Score’s sometimes confounding cases are not a fluke but are proof that it’s doing its supertool job
- How we developed the new Risk Score summary feature and why it is solid (yet incremental) progress toward simplifying and explaining the complex technology and data science behind next-level risk assessment
Who should attend
This is a great session for life insurance underwriters, medical directors, and other clinical and risk assessment professionals who want to better explain Risk Score and become more familiar with the predictive model underwriting paradigm. Those wishing to offer collaborative feedback on future Risk Score explainability innovations will also benefit from this presentation.
Presenters:
Sue Bartholf, FSA, MAAA
Director and Product Actuary
Michel Niemerg, FSA MAAA
Director, Data Science
Kelly Grogan
Product Owner
Moderated by Doreen Acampora, FALU, FLMI, CLU, ChFC
Underwriting Consultant