Description: This article provides an overview of the current Artificial Intelligence ("AI")/Machine Learning ("ML") regulatory landscape and governance considerations for insurers deploying AI/ML for their long-term care business.

Description: This article describes a method that can be useful when re-fitting a risk score model to a population of only moderate size. Learn how to use concepts like ridge regression to train a model with partial credibility.

Description: An autobiographical journey from actuarial student to data scientist.

Description: A review of the Johns Hopkins Data Science Specialization courses with special emphasis on how they may be useful to actuaries.

Description: The predictive analytics application growth in the Asia-Pacific region has been gaining momentum.

Description: This is the strong message to encourage all actuaries in the world, who are struggling against low/zero/negative interest rate. Japanese actuaries have been struggling with low/zero/negative interest rate since 1995. There are experiences in asset management, product revision, pricing strategy, and capital management that can be applicable to other countries.

Description: Article describing content and key takeaways from experience completing the SOA PA Certificate

Description: Discover the key components of value-based care (VBC) contracts and their impact on provider credibility. Learn about benchmarks, measurement period results, and the unique challenges providers face in managing insurance risk. Gain insights into reducing costs and aligning financial incentives in the US healthcare market.

Description: Editorial for the December 2019 print edition of Predictive Analytics & Futurism newsletter describing the large number of informational resources available to PAF Section members.