Large volumes of climate and hazard data are now available, but transforming this information into meaningful insurance decisions remains complex. Insurers must translate climate projections into risk pricing, underwriting decisions, and portfolio management strategies.
CLIMATIX focuses on bridging this gap by helping learners understand how climate data and models can be applied in real insurance contexts. Through practical case studies, digital tools, and AI-supported learning, the project enables professionals to connect data with decision-making in a structured and accessible way.