Description: We will share the latest research from the Actuarial Innovation and Technology Strategic Research Program, with a focus on research relevant to health actuaries. Attendees will learn about leading-edge technology that has impacts on actuarial functions, both broad and specific innovations and breakthrough technology, and the resulting impacts.

Description: As actuaries, we learn many facts and techniques and we develop many skills that enable us as professionals. In this session, we'll explore the art of skill development itself, and how to get good, at getting great, at literally anything, in record time. Malcolm Gladwell suggested we need 10,000 hours to become extraordinary in a skill. In this session we'll talk about the shortcut that allows any human to gain new skills to the level of 'world-class' in as little as 108 days, in effect, becoming so good at something that we become 'unrecognizable to ourselves, in all the best ways'. Learning outcomes include: 1. Learn the art of Perfect Practice: how to level up any skill faster than anyone else, using decades of research from BRATLAB and the science of performance into how to create skills and habits. 2. Explore why 'trying harder' is a recipe for stagnation and what it means to 'try different' 3. Leave with insights into the 'Magic Eight' receipt for rapid skill development and how that can transform your career and your life.

Description: The session begins with a brief introduction to Gen AI, including “what it is” and how to optimize outputs. Then, we will to provide some insight into what we are seeing within the Actuarial space – this would include the extent to which actuaries are using Gen AI on a day-to-day basis, how they are going about using it, and some predictions as to where this will go.

Description: This Q&A article discusses the use of machine learning to analyze unstructured data. Supriya Ramachandra, a data scientist at SIKKA, explains how her team uses natural language processing techniques, technical aspects of neural networks, LSTM modeling, and natural language processing. Machine learning allows for the classification of large amounts of unorganized data, providing actionable information for actuaries.

Description: Article about Prompt Engineering Tips.

Description: This article summarizes the new research paper of "InsurTech: A Guide for the Actuarial Community" by Carrie Kelley and Kiki Wang. It serves as a quick read for our members to learn the latest development in the InsurTech space and explore the opportunities for actuarial practitioners