Data vs. The Actuary: Stories from the Front

With the proliferation of complex data sources and increasingly sophisticated technology available to insurance companies, the traditional domains of the actuary have become battlegrounds between algorithmic data-driven insights and traditional wisdom and subject matter expertise. In this session, we will explore advantages and common pitfalls of both approaches, and techniques to help insurance companies use the best of both to intelligently use data, robust models, and visualization to better quantify, communicate, and manage risks.

  • Date:Monday, March 9
  • Time:6:05 PM - 6:55 PM
  • Location:Oasis I
  • Session Type:Concurrent Session
  • Session Code:CS4
  • Audience Level:2
  • Learning Objective 1::Better quantify and visualize risks due to myopic data usage
  • Learning Objective 2::Analyze case studies of how to leverage data from outside own's own company
  • Learning Objective 3::Apply the use of predictive analytics with company- and industry-data in a credibility-based framework that quantifies risks
  • Moderator:Timothy Paris
Timothy Paris
Ruark Consulting LLC
Rosmery Cruz
RGA Reinsurance