Events

Understanding Modern AI: What a model is, how we got here, and where it's heading

Part 1: Artificial intelligence has moved from research labs to everyday professional tools in just a few years. In this first session, we take a step back: what exactly is an AI model, what were the key milestones that led to today's state of the art, and what are the most likely trajectories ahead? We will cover the main model families, what it takes to build or adapt a model, and how capabilities have evolved, illustrating each point with examples relevant to the insurance sector. The goal is to give actuaries a solid, hype-free mental model of the technology before diving into applications in Part 2.

AI in Practice: Building real actuarial tools, from prompts to production

Part 2: In this second session, we get hands-on. We will present one or two concrete AI tools built for non-life insurance use cases, and walk through how they were actually made: the prompts, the iterations, the trade-offs, and the skills required. We will also address the questions that matter in a regulated environment: security risks, data sharing, and how to implement verification steps. Attendees will leave with a realistic view of what it takes to go from an idea to a working actuarial tool, and of the vigilance points along the way.