Description: In recent years, there has been an uptick in new defined benefit plans and previously frozen plans have reopened to take advantage of surplus assets. However, few of these new plans are what we would call traditional defined benefit plans. This webcast will discuss the design of the new (and reopened) plans - both single and multi- employer - and the rationale behind them.

Description: What is bias? How do you recognize it? What to do if you see it? This webcast will help respond to these questions and provide initial guidance on how to deal with these thorny issues. Please join us with your questions and we will have a nice conversation.

Description: In this webinar, the presenters will give a behind the scenes look at how the NAIC ESG was parameterized. They will also share the results of its most recent calibration.

Description: Join us for an insightful webinar on how actuaries can effectively operationalize Large Language Models (LLMs) in their work. We'll walk you through key areas and provide additional context to help you understand the practical applications. There will also be time for questions and answers to ensure you get the most out of this session. Don't miss this opportunity to enhance your actuarial practice with the latest advancements in technology!

Description: 2026 SOA Valuation Actuary Meeting - Virtual

Description: The Academy Economic Scenario Generator is set to be replaced by a new ESG created in a partnership between the NAIC and Conning. This summer, we will present three separate webinars that will investigate the key features of the new ESG, examine the process through which it was created, and discuss what it all means for actuaries impacted by the change.

Description: Following recent market volatility and regulatory changes, market data and market-consistent economic scenarios are at the core of the valuation of liabilities and market risk benefits under regimes such as IFRS 17 and Long Duration Targeted Improvements. This webcast will explore options available to insurance companies to establish stable long-term volatility assumptions and discuss how the choice of financial data can impact the calibration and the simulation of credit spread scenarios.

Description: "This video by Danika Turner is an introduction to Medicare Advantage revenue, specifically focusing on how Part C revenue works for individual Medicare Advantage plans. It explains how health plans participating in the Medicare Advantage program are paid by the Centers for Medicare and Medicaid Services (CMS), including the impact of Star ratings, risk adjustment, and county-level CMS benchmark rates on revenue. The session aims to simplify the main variables of the revenue calculation and uses conceptual examples for individual MA plans, excluding certain populations like Employer Group Waiver Plans and members with End-Stage Renal Disease or in hospice. The video also covers the basics of Medicare-covered services, mandatory and optional supplemental benefits, and the calculation steps for determining CMS Part C revenue per member per month.

Description: In this video Ben Keslowitz describes the differences in types of Annuities. Ben discusses that there are two main types: immediate annuities, which start payments right away, and deferred annuities, which delay payments. He then goes on to discuss immediate annuities include lifetime, certain only, certain and life, and joint and survivor annuities, each offering different payment structures and durations. He dives into these structures to give the viewer an intro level on options on annuities.

Description: "The following video Dave Friesen provides a comprehensive overview of the Artificial Intelligence and Data Science learning track. It covers the role of AI in actuarial work, ethical considerations, and the challenges and limitations of AI. The document also discusses the importance of cloud ecosystems, AI tools, and automation trends, emphasizing the evolution of platforms like Python and low-code solutions. Additionally, it highlights the criticality of lifecycle management, governance, and data foundations in AI applications.