Description: The Society of Actuaries announces the release of a new report that will provide a resource for the insurance industry to learn about image recognition technology. Authored by Kailan Shang, the report explores the current status of image recognition technology, models for image recognition, and various possible applications of image recognition to insurance.

Description: Sponsored by the Society of Actuaries Research Expanding Boundaries Pool, this report examines an encompassing method to allocating economic capital in insurance conglomerates. Authored by Edward Furman, Yisub Kye, and Jianxi Su, the plan put forth unifies the centralized top-down and the detail-oriented bottom-up approaches

Description: This is a page for section members that includes information on illustration actuary testing.

Description: Introducing Random Effects into Risk Score Models

Description: Analyze financial risk and explore the foundation for pricing, valuation and other functions served by actuaries in the modeling profession during this webcast. Expect a focus on the importance of understanding and preventing bias. Observe the different types of bias, how it can enter into models, how to identify it in models and best avoidance practices. Join our presenter who is pursuing a Masters in Economic Analytics at Clemson University as he incorporates his recent economic research into the webcast material.

Description: Call for Practical Application Essays on NAAJ Articles

Description: Life insurance and annuity illustrations are an important part of the sales and ongoing policy maintenance process educating consumers on how the products could perform in a given set of circumstances. While candidates for Fellowship in the Society of Actuaries and even practicing actuaries may have a general knowledge of what they are and awareness of the regulations and applicable standards of actuarial practice, they may not know much about the intricacies of illustrations and illustration testing. The purpose of this project is to create a resource to improve actuarial practitioners’ understanding of illustrations. Additionally, this topic is not currently addressed in the exam curriculum. It is intended that selected sections of the report on this research would be suitable for inclusion in the Fellowship syllabus.

Description: In this SOA e-course, you'll learn how to develop an enterprise risk management (ERM) framework and help fulfill your SOA CPD requirement at the same time.

Description: In this presentation, actuaries and data scientists from Cleveland Clinic and Milliman discuss the development of a sepsis prediction model using machine learning. Presented with a unique challenge of handling massive amounts of data for near real-time risk scoring, the team took their model development to the cloud and delivered a product in less than a week through a unique virtual engagement.

Description: This session is open to all, but targeted to pension actuaries looking to understand the mechanics of how PRT is priced by life insurance actuaries, as well as life insurance actuaries who wish to understand how the stream of expected benefit payments and Accrued Benefits Obligation is calculated by Retirement Actuaries. Pension Risk Transfer involves two distinct disciplines of the actuarial profession. To date, understanding the other side of Pension Risk Transfer has been limited. This session will attempt to clarify the mechanics of the other side of PRT and explain how an actuarial model consolidating the two separate sides can be built. Panelists will include a retirement consulting actuary who helps retirement plan sponsors bring their pension plans to market to purchase PRT, as well as an experienced life insurer who works to price PRT.