Description: Session 10G: Elevating Actuarial Impact – Communication Techniques to Consider

Description: Virtual - Session 2A: Building and Using an AI Simulation Model

Description: Actuarial work in the life and health insurance industry is highly data-driven and complex. Actuaries perform a wide range of tasks such as experience studies, valuation, reserving, pricing, and risk modeling, all of which require vast amounts of data and sophisticated analytics. Traditionally, many of these tasks have been carried out using Excel and other legacy tools, but as data volumes grow and the need for more accurate predictions intensifies, actuaries are turning to more robust platforms. Cloud Data & Artificial Intelligence (AI) Platforms, such as t Databricks offer a unified platform that integrates data management, analytics, and machine learning, making it a powerful tool for actuaries. In this article, we’ll explore how Cloud Data & AI platforms can be used as an actuarial workbench, enabling actuaries in the life and health sector to streamline critical tasks like experience studies, valuation, and reserving.

Description: This will be an engaging and interactive session that will begin with a game show to level set basic knowledge of LDTI. Next, you will have an opportunity to ask the experts in-depth questions about anything related to LDTI. Finally, we will invite the 2023 adopters to share their experiences with the 2025 adopters. The exact content will be driven by participants but is expected to include MRB valuation approaches, LFPB reinsurance topics, DPL, DAC, and disclosure topics. At the end of the session, participants will understand different perspectives from industry experts and peers on the many facets of LDTI.

Description: In this session, we will delve into the powerful capabilities of two essential algorithms in the field of data science and machine learning: Generalized Additive Models (GAM) and CatBoost. These algorithms can play a crucial role in conducting experience studies for insurance.

Description: The presentation will cover conclusions, the mathematical techniques chosen (LightGBM), the rationale for that choice, and the technical tools used to collaborate among a dispersed team. (R, GitHub, CodeSpaces)

Description: A news release announcing the release of findings from a survey about Taiwan's retirement system.

Description: The Casualty Actuarial Society (CAS) and the Society of Actuaries (SOA) jointly published key findings from the 18th Annual Emerging Risk Survey. The online questionnaires ask risk managers to rank current and emerging risks, and researchers have tracked the responses over the years to identify trends. In the latest survey, the top emerging risks are climate risks, disruptive technology and geopolitical instability.

Description: The Society of Actuaries (SOA) Research Institute and the National Conference on Public Employee Retirement Systems (NCPERS) announced development of a new study, focusing on U.S. public pension plan mortality data. Sponsored by NCPERS, the study will analyze in-depth data from more than 30 U.S. public pension systems spanning from 2022 to 2026. The research findings are scheduled to be released around 2030.

Description: The Society of Actuaries (SOA), the world’s largest actuarial professional organization, announces the opening of a new regional office in Singapore. Actuaries are professional experts in measuring and analyzing risk, and work in a variety of fields, including insurance, healthcare, consulting, financial services, government and education.