This session will delve into applications of AI (artificial intelligence) and PA (Predictive analytics) that can improve assumptions and provide insights in the LTC space. We will compare and contrast these applications with current approaches.
Our speakers will cover:
- How carriers can more quickly adopt predictive analytic methodologies and more easily overcome common barriers to the use of these methodologies.
- How actuarial expertise, data science, and technology expertise can be combined and used to set actuarial assumptions.
- An overview of methods for selecting and fitting model parameters, detecting improvement trends, working with smaller data sets, and validating projections.
- How to deliver impactful pre-claims interventions on at-risk populations by better understanding policyholder profiles, predicting their behaviors and targeting the right interventions.