Description: Applying the new GDPR terms to Actuarial work, to secure private data in portfolios while using those for pricing and reserving modelling in all business lines.

Description: Medical management programs have traditionally addressed more acute and short-term issues with chronic disease. As LTC becomes an important product in the insurance industry, including disease management is likely to be valuable for reducing costs and prolonging the healthy, premium-paying portion of a claimant's life.

Description: Possible usage of tools that can automate time consuming processes, and lead to a different team structure and organization for predictive analytics team.

Description: This article summarizes some of the operational considerations necessary to optimize the usefulness and impact of a predictive model, such as cross-functional support and involvement in model build, adequate training and reporting, and strategic model build.

Description: A closer look at family tier factor rating assumptions, and how well they reflect actual claim cost data.

Description: New research shows that we often make sub-optimal choices, when selecting a health insurance plan, that lead to unnecessary out-of-pocket expenditu

Description: SOA Product Development Section Contest Winning Article. Contest was to provide a creative article on future technology for the life insurance industry.

Description: This article covers the American Academy of Actuaries’ “Model Governance Checklist” that was created in response to PBR regulatory model governance needs.

Description: Comparison of open code and closed code actuarial modeling systems, focusing on advantages and disadvantages of each group.