Description: This session will cover everything you've wanted to know about GLMs but were too afraid to ask. How do these generalized models relate to the plain linear regression, and how can we be sure that the models we implement are appropriate for the task at hand?

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: Best-in-class analytics allow companies to quickly understand results and dynamically manage their business. When enhancing analytics, we can learn from companies that have recently deployed new dashboards for Long Duration Targeted Improvements (LDTI), International Financial Reporting Standards 17 (IFRS17) and principle-based reserving (PBR). Data transformations and new software tools provide significant opportunities, but many companies are grappling with an actionable path forward to implementing new analytics.

Description: Actuarial projects have become more intricate, involving external resources and requests beyond the actuarial team's purview. Whether a task appears minor or exceptionally complex, adept project and change management play a pivotal role in successful execution. In this session, we explore practical strategies for tailoring implementation management approaches.

Description: The Smaller Insurance Company/Chief Actuary Forum presents a unique format for focusing on issues faced by actuaries in leadership positions or actuaries supporting the Chief Actuary. By discussing critical issues with your peers, you will leave with ideas to incorporate in your business environment. The Forum will feature presentations to introduce several of the discussion topics, followed by an opportunity to break into smaller discussion groups and rotate among topics.

Description: A priori, one would expect In Home Assessments (IHA) and Telehealth (TH) Encounters to identify some conditions that lead to actions that keep a member or two out of the Emergency Room. Similarly, one would expect Care Management and Disease Management engagement to ultimately influence some improvement in documentation that leads to more accurate Risk Adjustment. The business cases for these activities are often siloed to only the primary activity. The relationship between risk adjustment and care management is often more recognized as competing interests - one generally relying on utilization and the other trying to reduce it. Business cases can change dramatically when profiling has a more complete picture. This session will explore some techniques and share some observations - positive and negative - of the interactions between CoC and Risk Adjustment.

Description: Learn from panelists from different companies as they come together to discuss their experiences.

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.

Description: Focus on the importance of achieving complete and accurate technical reviews of work products that contribute to decision making. As actuaries, we often face tight deadlines and the demand is high for our team members to provide results in a timely manner. Through investing upfront time into a quality review of our work product, with an added focus on professional excellence and ethics, overall time savings can be gained and an overall higher quality work product can be achieved, not only of the technical work being performed, but of the decision making that is influenced by the result of the work. At the conclusion of this session, you will be able to understand the value of technical reviews and the methods of preparing for and implementing technical reviews across a team.

Description: Generative artificial intelligence (AI) tools like ChatGPT will redefine the nature of work across industries in coming years, What does this mean for the actuarial profession? Delivering generative AI tools to actuaries capable of leveraging them effectively will dramatically modernize how actuaries work and contribute to organizational growth. In this educational session, explore how generative AI can accelerate actuarial model development. Gain an introduction to generative AI and its implications for actuarial modeling. Learn how it specifically helps actuaries improve accuracy, reduce errors and save time in model development. Then explore use cases, including how generative AI can improve data cleaning, model building, as well as simulate scenarios and test model robustness. Close with a discussion on how to integrate generative AI into actuarial modeling workflows effectively, including common challenges actuaries may face during implementation and tips to overcome them. You will come away with a deeper understanding of how generative AI can accelerate actuarial model development.