Description: A deep dive into utilizing open-source tools for cash flow projection or valuation tasks when Excel and vendor software may not be the right fit. Speakers will cover common concerns about open-source tooling, a real-world example of Excel at its limits, a walkthrough of building a valuation engine in Python, performance comparisons of multiple languages and implementation approaches, and perspectives on using open-source tooling in the real world. Attendees will learn the pros and cons of open-source tools, when incorporating these tools might make sense, ways to get started, and gain exposure to advanced topics like profiling and optimization, concurrency, and adding a graphical user interface.

Description: Based on the work of the American Academy of Actuaries, this session will share insights on auditing an algorithm and provide an artificial intelligence governance checklist.

Description: This session introduces you to the next level of gen AI: AI Assistants (also known as Custom GPTs, Gems, or Bots). An AI Assistant is a specialized, tailored version of a Large Language Model (LLM) that allows the user to produce a persistent, pre-programmed tool designed to handle complex, repetitive professional tasks with guaranteed consistency, accuracy, and alignment. We will move beyond casual prompting to explore the mechanical architecture required to build reliable, high-stakes assistants for a variety of applications.

Description: Meet the authors of and learn about the contributors to the newly published e-book "Design Your Future with the Competency Framework." Presenters will share their personal reflections, stories and words of wisdom to bring to life the eight professional and personal competencies in the SOA Competency Framework.

Description: This webcast will walk through several statistical methods for imputing race and ethnicity from U.S. datasets, highlighting their strengths and weaknesses, talking about how to use them and evaluating their accuracy, and telling you where you can get code packages as well as a free dataset to try the methods out.

Description: This session will cover the regulatory testing requirements issued by Colorado in its SB21-169 regulation, New York Insurance Circular Letter No. 7 issued in 2024, as well as other US States. It will also explore the actual implementation of these requirements on a company using Large Language Model on external data for life underwriting.

Description: Actuarial Standards of Practice (ASOPs) are critical to an actuary's work, but staying abreast of changes to ASOPs could be challenging. Several ASOPs have been created or updated in the last few years while ValAct was on hiatus. Are you up to date? This session will focus on ASOPs 7, 11, 28, 41 and 57. Come ready to play, as we challenge your knowledge of these ASOPs in a fun game show format. By the end of this session, attendees will learn the major provisions included in ASOPs that have been recently updated or created and understand how their work may be impacted by these recent changes.

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: The importance of storytelling in financial communication and its role in conveying complex financial reporting results and insights to diverse stakeholders cannot be denied.