Leading the Way
In RPM Innovation

March 12, 2025 8:00 AM – 5:00 PM (Full-day)

*Separate registration required.

“Dangerous in a Day; Intro to Python” will take you from complete novice to being functional as a predictive modeler with Python. This workshop will cover Python basics, data preparation, parallel processing, model building & analysis (GLM & GBM), deployment, and model interpretation using SHAP. All notebooks & code will be take-home ready for you to work on your own after the session.

March 12, 2025 8:00 AM – 5:00 PM (Full-day)

*Separate registration required.

In this interactive workshop, we will embark on a hands-on trek through the evolution of actuarial predictive modeling. Using a real-life insurance dataset, we'll traverse from the foundational Generalized Linear Models (GLMs) to advanced techniques, including regularized (LASSO) GLMs and Gradient Boosting Machines (GBMs), along with explainability tools such as partial dependence plots and SHAP.   Participants will roll up their sleeves and delve into exploratory data analysis, data partitioning, iterative model selection, specification, hyperparameter optimization, and validation. Our emphasis? Drawing rich interpretations and gaining insights from the heart of the model outputs.   While we'll touch upon the intricate gears that drive these models, our compass is set firmly on comprehending the 'why' and 'how' behind each technique and understanding its tangible implications. We'll dive deep into cutting-edge explainability tools ensuring our models are not just high performers but also crystal-clear in their revelations.   Our workshop will be conducted exclusively in the R language. Attendees will receive all datasets and R code snippets in advance to ensure a smooth and engaging workshop experience.

March 12, 2025 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).   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. Whether you’re looking to enhance your AI skills or explore new ways AI can impact risk modeling and decision-making, this workshop will equip you with the knowledge and tools needed to integrate AI into actuarial practice.

March 12, 2025 8:00 AM – 5:00 PM (Full-day)

*Separate registration required.

This forum is designed for advanced practitioners working in the areas of data science and analytics. The full-day event includes presentations, roundtable discussions, and opportunities for interaction with fellow colleagues interested in predictive analytics. Typical topics included in this forum include presentations and discussions around traditional modeling, machine learning, data tools, deployment methods, and ethical concerns. Please see the current year’s agenda for more detailed information. All content is designed to be relevant for CSPA continuing education requirements.

March 12, 2025 8:00 AM – 12:00 PM (Half-day AM)

*Separate registration required.

Participants of this workshop will learn how functional areas within an insurance organization work together to make the best decisions for the organization.   We will take a hands-on approach to the insurance product life cycle, focusing on three different scenarios - building a new product, expanding a product into a new market, and overhauling an existing product. The workshop will be led by industry professionals with decades of experience developing, implementing, and improving products.

March 12, 2025 12:00 PM – 5:00 PM (Half-day PM)

*Separate registration required.

Sometimes basic actuarial ratemaking techniques are insufficient for the job at hand. Data availability, the underlying nature of the exposure, or the presence of other constraints can necessitate the use of additional or more advanced methodologies. This workshop will cover advanced ratemaking topics such as pricing for new products, competitor analysis, and large account pricing.     This session will be structured as two modules. During the first module, we will provide an interactive case study challenging participants to use their creativity in setting the rates for a new product, and we will walk through an example of how to perform a competitive analysis (in the U.S. market). The second module will introduce the basic mechanics and common challenges of employing loss rating techniques to determine pricing for a risk based on the insured’s own experience. Armed with the basics, we will challenge ourselves to make practical decisions about account pricing from the perspective of the broker, underwriter, and actuary.

Actuarial Innovation: Elevating Human Expertise through AI Collaboration
State of the P&C Industry and the Impact of Current Trends on Affordability

The Pricing Evolution: From Offline to Live Rating
Crash Course- Insights From 15 Million Accidents
Introduction to Machine Learning for Actuaries
Commercial Lines: Do Bureau Rates Add Value?
Dynamic Insurance Pricing with DDPG: A Simulation
Advanced Modeling: Path to Regulatory Approval
Modern Credibility for Classification Ratemaking

Improving Telematics With Driver Education
Wildfire Urban Interface Data Commons
What 1.5 Million Fires Can Tell Us About Fire Risk
Telematics Insights for Territory Risk Assessment
External Data in Straight-Through Processing (STP)
Data Science, Analytics, and the Underwriter
The Use of AI in Insurance

Expanding Analytics Outside of Pricing
Unlocking the Modeling Mindset
Quiz: Actuarial Interpretation of Model Results 2
Impact of Distribution Assumptions on Rate Models
Individual Claim Reserving - For Pricing?
Unlocking Value: From 'Shoe-Box' Models to Actions
Fake It Till You Make It Synthetic Data
Rate Master: Large Loss, Allocation & Smoothing

Applying ASOP 56: Modeling
Recent Changes to ASOP 29 And ASOP 30
New CAS Research on Race and Insurance Pricing
What Makes a Great Rate Filing (Panel Discussion)

Recent Developments in Florida Property Insurance
Florida Claim Environment (Time Limit Demand, Etc.)
Insurance Products 101 – Farm, Crop, Travel, and ISO (Florida edition)
Crypto/Cyber

** Dangerous in a Day; Intro to Python (Full-day)
** From GLMs to Explainable Machine Learning (Full-day)
** From Neural Networks to Generative AI – A Hands-On Journey for Actuaries (Full-day)
** iCAS Data Science & Analytics Forum (Full-day)
** Product Management/Development (Half-day AM)
** Advanced Ratemaking (Half-day PM)