This is the first in a 4-part series where Anders Larson and Shea Parkes discuss predictive analytics with high cardinality features.  In this episode they focus on introducing what high cardinality features are, why you might want to work with them and some of the basic approaches to including them in predictive models.

Title: Leadership Series: John Robinson

Description: Jackie Lee discussed with John Robinson about his new role as SOA President. He talks about his background and how he got to this prestigious and monumental role. They discuss his Presential Speech, which is found here. 

A conversation on monitoring and maintaining data science models and how that compares to actuarial models.

What is an Electronic Health Record (EHR). Digital Medical Data today and how it is used today? How does it compare to Attending Physician Statement (APS) and what’s in it for underwriters.

Parag Shah discusses his involvement with the California Long Term Care Insurance Task Force, which has been discussing potential public LTC options for the state of California.

Jackie Lee joins Lydia Tolman and Jackie Young as they discuss their SOA Research paper, “Interactions of Health Care Rating Factors with Race, Ethnicity and Socioeconomic Factors.” We discuss how health care rating factors should be considered when being used in pricing.

Join us as Ashlee Borcan and Dave Dillion discuss current events and trends in the supplemental benefits world. 

Discussion regarding recent industry events and what your auditor will be looking for in regards to these impacts.