Description: Actuarial funding of OPEB plans is primarily a public sector phenomenon due to the different regulations and tax laws that impact private sector organizations in the US. OPEB funding started to gain momentum with the implementation of GASB Statement 45 in the mid to late 2000s.

Description: En el seminario hablaremos sobre los nuevos flujos de tarificación, y nos enfocaremos en la inclusión del análisis geográfico en el proceso de modelado para optimizar la extracción del riesgo en modelos de Machine Learning.

Description: As the size of the life reinsurance market in Bermuda has grown to over half a trillion dollars at the end of 2021, more and more actuaries are getting involved with this 21 square mile North Atlantic island in one way or the other. Come explore a fundamental understanding of the Bermuda solvency framework and an overview of its upcoming changes.

Description: The Society of Actuaries will be offering this webinar series intended to educate and investigate aspects of life insurance, annuity, and long-term care product tax compliance. Developed by the Taxation Section, participants will be brought up to date on recent Internal Revenue Service (IRS) guidance and learn about the newest tax issues related to product design and administration. Legal, IRS and product development experts will provide vital insights into the challenges of developing and administering products within the requirements of the Internal Revenue Code (IRC) and allow ample opportunities for questions and information exchange. The session will look to define the “Product Tax Compliance" and "Information Reporting" Operational Risks associated with the administration of life insurance, annuity, and long-term care products. Panelists from leading insurance companies will discuss practical, real-life situations that they encountered and strategies they have used for risk mitigation.

Description: Zero-Knowledge Proofs (ZKPs) represent an innovative suite of cryptographic algorithms that empower the insurance community to validate the accuracy of sensitive information without revealing the actual information itself. Mutation with the use of non-traditional data entering the insurance processes of customer acquisition and in-force management is currently taking place. A shift toward using non-traditional data in insurance customer acquisition and in-force management processes is currently taking place. This evolution is captured in the Australian market through surveys and interviews. Come and join us to learn about these two new research studies that open up the possibilities for the insurance industry to be more efficient in delivering its value to the society.

Description: With IFRS 17 effective this year, come learn about the performance management capabilities provided by IFRS 17 with traditional analysis under IFRS4, and with LDTI under USGAAP. You will begin with an introduction to the IFRS 17 landscape post implementation, followed by a comparison of profit measurement and earning analysis key performance indicators (KPIs) pre- and post-IFRS 17, and ends with an exploration of the common philosophy of earning recognition between LDTI and IFRS 17 beyond the calculation differences.

Description: How do Professionalism and the Actuarial Standards of Practice apply as the way we work and tools we use continue to change? Business is conducted via social media and messaging and Generative AI allows for additional scenarios, analysis and oversight. Join us for an interactive session to go deeper into these topics including case studies, polls and a panel discussion.

Description: Learn about the latest developments in hospital and payer price transparency data. Hear experiences working with the data and attempts to gain meaningful insights for actuarial and other purposes. Discover challenges and workarounds associated with this data, including file size, comparability of prices, duplication of prices, aggregating provider NPIs into meaningful groupings, and missing payer information.

Description: Indexed universal life (IUL) continues to be the most popular universal life (UL) product with sales reaching $1B in Q4 2023, according to LIMRA. There is little long term experience for IUL and many companies value and model IUL just like UL, but there are material potential differences that need to be considered for valuation and projection purposes. Presenters will discuss key risks and differences between IUL and UL relating to policyholder behavior and how to value, project, monitor and manage those risks to avoid repeating misestimates of the past. Presenters will also discuss broader life assumption risks such as mortality and yearly renewable term (YRT) reinsurance risk. Attendees will learn about options on how to potentially address underperforming blocks of IUL and will obtain an improved perspective on the risks of IUL products and the differences versus UL and how to incorporate these differences into their valuation and projection exercises.

Description: Dive into this review on Artificial Intelligence and Machine Learning (AIML) techniques for actuarial modeling for life & annuities. Presenters will showcase learnings from the recent SOA research paper "Predictive Analytics and Machine Learning – Practical Applications for Actuarial Modeling" (Nested Stochastic). The researchers will go over models and methodologies used to develop high-fidelity proxy models for various life & annuity applications.