Description: The surge in interest rates over the past few years presents opportunities for life insurers to enhance their Asset and Liability Management (ALM) positions through asset rebalancing to narrow the duration gap and secure higher risk-adjusted yields. This webcast introduces a robust, efficient and readily-executable, liability-driven strategic asset allocation (SAA) framework and implementation considerations. At the conclusion of the webcast, attendees will learn about the key objectives and practical considerations for a successful SAA.

Description: There is increasing industry interest in applying behavioral science to optimize product design decisions and improve outcomes for both insurers and their customers. With a growing set of options within product designs, predicting consumer behavior continues to get increasingly complex. Join this webcast for an overview of key behavioral economic concepts. Key insights will be shared from two SOA projects that explore how behavioral economic techniques can be used in various parts of the life insurance new business process and enforce management.

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: Session 1D: Meeting the Mark - Predicting MA Stars Outcomes with Monte Carlo Simulations

Description: Session 2F: Artificial Intelligence and Actuarial Modeling - Ask an Expert!

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: 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: Actuaries today have unique opportunities to analyze, understand and use data for strategic decision making. With nearly unlimited computing power and a broad spectrum of data sources at our fingertips, we are enabled to support our actuarial judgment with comprehensive findings backed up by deep data analyses.

Description: Actuaries team up with Payers and Providers, to share insight into their data-driven approaches for improving health plans' CMS Medicare Star Ratings, which leverage experiential analytics to create solutions. 'Experience' is the king-it is broader umbrella, which includes and addresses engagement, cultural competency, equity, cost, and lastly, 'quality'. By attending this session, you will be better equipped to turn real-life data into actionable business solutions-essentially, data science in action. Further, you will better appreciate the importance of stars and risk adjustment in the Medicare Advantage space, along with the consequences of coming up short.

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.