What it is:

These are spotlight sessions featuring prominent leaders or thought influencers. They deliver insightful presentations on high-level topics that are relevant across the actuarial profession and beyond.

Why attend:

You'll gain big-picture perspective, inspiration, and a chance to hear from some of the most compelling voices in the field.

What it is:

These sessions bring all attendees together for shared learning experiences. General Sessions often include industry leader presentations, major announcements, and discussions on critical industry trends.

Why attend:

They set the tone for the event and provide a common foundation of knowledge and inspiration for all participants.

What it is:

Concurrent Sessions run in parallel, offering attendees a choice of specialized topics to match their interests or practice area. Sessions are often panel discussions, case studies, or expert-led presentations.

Why attend:

You can customize your schedule to focus on the topics that matter most to you—whether it’s pricing, predictive analytics, professionalism, or another specialty.

What it is:

Roundtables are interactive, small-group discussions focused on peer learning. Attendees and facilitators engage in active conversation around a specific topic or challenge.

Why attend:

They’re perfect for sharing experiences, asking questions, and networking in a more informal setting.

What it is:

Workshops are hands-on, skill-focused sessions designed for deeper learning. Led by experienced instructors, these small-group offerings may span a half-day or full-day and require separate registration from the Seminar. Workshops provide practical exercises, real-world data or case studies, and direct engagement with instructors—ideal for developing applied skills or exploring new methodologies in depth.

Why attend:

If you want to strengthen technical skills, explore new tools, or gain direct experience with emerging practices, workshops offer a focused and interactive learning environment.

The opinions expressed by speakers at this event are their own and do not necessarily reflect the opinions of the CAS.

March 16, 2026  8:00 AM – 5:00 PM (Full-day)

*Separate registration required.

This full-day, hands-on workshop explores modern predictive modeling strategies for actuaries in R, using a realistic dataset of policies and claims. Participants will alternate between conceptual discussion and guided coding in RStudio, applying methods within the tidymodels framework.

The course emphasizes both theory and practice, with a focus on building, interpreting, and refining models in ways that generate deeper business insights. By working through structured examples, participants will develop a toolkit of approaches that blend traditional actuarial techniques with machine learning methods.

Key skills gained include:

• Building and refining generalized linear models (GLMs)
• Enhancing GLMs with credibility through LASSO regularization
• Building and tuning gradient boosting machines (GBMs)
• Applying SHAP values to interpret the impact of predictors
• Leveraging GBM insights to refine and strengthen GLMs with added structure and interactions

By the end of the workshop, participants will have reusable R code, practical strategies for handling real-world insurance data, and a clearer view of how to combine interpretability and predictive power to support actuarial decision-making.

Note: Back by Popular Demand

March 16, 2026
8:00 AM – 5:00 PM (Full-day)

*Separate Registration Required

Dive into the transformative world of artificial intelligence in this full-day workshop designed specifically for actuaries and insurance professionals. The session will guide you through the fundamentals of Neural Networks, including Feedforward Neural Networks, Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Transformers, before exploring the cutting-edge concepts of Retrieval-Augmented Generation (RAG) and other advanced techniques within Generative AI (GenAI). The workshop will conclude with an introduction to the emerging field of AI agents, autonomous systems that combine reasoning, memory, and tool use, and discussions on how they could possibly transform future insurance operations.

Participants will gain practical experience through hands-on exercises — building classification models leveraging neural networks and developing a mini GenAI app tailored for the insurance industry. Along the way, you’ll explore how these technologies can enhance actuarial workflows, automate insights, and support complex decision-making.

Note: Back by popular demand.

March 16, 2026 8:00 AM – 12:00 PM (Half-day AM)

*Separate registration required.

Jumpstart your Python skills in this interactive workshop! You’ll learn the building blocks of Python, get your hands dirty cleaning and analyzing real insurance data, and bring your insights to life through visualization.

Note: Back by Popular Demand - This year’s WS pulls from the first portion of 2025's “Dangerous in a Day” WS

March 16, 2026 1:00 – 5:00 PM (Half-day PM)

*Separate registration required.

This workshop provides a practical exploration of modern predictive modeling techniques using Python. Participants will learn how to build and interpret models ranging from Generalized Linear Models (GLMs) to Gradient Boosting Machines (GBMs) and Deep Learning architectures.

The session emphasizes both conceptual understanding and real-world application, highlighting best practices, key assumptions, and practical considerations when working with each method. Using real insurance data, participants will perform hands-on analysis to compare model performance, interpret results, and understand how these techniques can enhance predictive accuracy and business insight.

Ideal for actuaries and analysts with some exposure to predictive modeling who want to expand their technical toolkit and strengthen their applied modeling skills.

Note: This year’s WS is an expanded and updated portion of 2025's “Dangerous in a Day” WS

March 16, 2026 8:00 AM – 12:00 PM (Half-day AM)

*Separate registration required.

The Natural Catastrophe workshop will cover topics and provide examples for the intersection of catastrophe risk management, risk selection, and pricing, based on a research collaboration between the CAS and International Society of Catastrophe Managers (ISCM). Discussions will focus on perils and topics that are of current importance within the catastrophe risk management field.

As the capstone, the speakers will facilitate interactives sessions using natural catastrophe data, examining and understanding the experience and the modeled data set.

March 16, 2026 1:00 PM – 5:00 PM (Half-day PM)

*Separate registration required.

This 4-hour workshop is designed for actuaries who want to enhance traditional ratemaking techniques using technology. With tools like Excel, Python, and R, you'll learn how to improve efficiency, accuracy, and adaptability across key components such as rating plan design, trend analysis, on-leveling, triangle methods, experience modifications, territory analytics, and actual vs. expected evaluations.

Led by experienced actuaries, the workshop focuses on practical applications—not exam prep—and includes troubleshooting tips, common modifications, and strategies for adapting methods to special circumstances like sparse data or regulatory constraints. While modeled data may be referenced to support examples, actual model building is out of scope.

Participants will receive sample code, templates, and other resources to support continued learning and implementation. A basic knowledge of Excel, Python, or R is assumed.

iCAS Data Science & Analytics Forum*

March 16, 2026  8:00 AM – 5:00 PM (Full-day)

*Separate registration required.      

The iCAS Data Science & Analytics Forum is a full-day, advanced workshop designed for professionals who want to deepen their expertise in predictive analytics, AI, and modern actuarial workflows. Through focused sessions led by industry, academic, and regulatory experts, participants will explore the tools, technologies, and practices shaping next-generation analytics in P&C insurance.

The program blends conceptual insight with practical, real-world examples—making it valuable for both seasoned practitioners and those newer to advanced modeling. No CSPA credential required.

Key themes include:

• Regulatory perspectives on AI and the latest NAIC initiatives
• Applying AI-assisted coding tools to improve efficiency and code quality
• Using education research to shape effective team training and skill development
• Integrating DevOps and software-engineering principles into actuarial modeling
• Extracting meaningful structure from unstructured claim text using LLMs and ontologies

Participants will leave with practical frameworks, emerging best practices, and immediately usable strategies for enhancing modeling workflows, strengthening technical foundations, and navigating the evolving AI landscape within insurance.