Building Personalized Insurance Pricing with Real-Time AI at Prima

Building and maintaining a real-time AI system for personalized insurance quotes presents significant challenges, particularly when it comes to maintaining feature consistency across environments, managing complex real-time pipelines, and ensuring system reliability for mission-critical pricing models. Prima, a leading Italian insurtech company, tackled these challenges head-on in their evolution from legacy systems to a modern, unified feature platform.

In this webinar, Gianluca Stringhini, Product Manager, and Lorenzo Gelmi, Senior Engineering Manager from Prima's Machine Learning platform team, will delve into the critical role of real-time feature computation in Prima's business, exploring the technical challenges they faced and demonstrating its importance in the customer journey and competitive pricing models. They'll showcase how Tecton's platform has become the cornerstone of their AI infrastructure, enabling them to deliver consistent, reliable, and personalized insurance quotes in real time.

Gianluca and Lorenzo will also share Prima's innovative approach to structuring their machine learning operations. They'll talk about how this organizational structure, which includes global platform teams, local cross-functional teams, and a thriving internal MLOps community, enables them to manage the entire model lifecycle effectively and maintain their competitive edge in the insurance market.

In this session, you'll:

• Learn how Prima evolved from legacy systems to a modern, unified feature platform, and the impact this had on their AI capabilities
• Understand the challenges and solutions in implementing real-time feature computation for personalized insurance quotes
• Discover strategies for ensuring feature consistency across offline and online environments and its impact on model reliability
• Learn how to balance platform adoption with custom solutions for specific use cases

Join us to get a candid look at Prima's experience with Tecton, with valuable insights for teams looking to build or optimize their ML infrastructure for real-time, mission-critical applications in the insurance industry and beyond.