Foundation Models (FMs) have completely taken over unstructured data domains like natural language and images, delivering significant advances in performance across tasks with little to no task-specific training. Yet structured and semi-structured relational data, which represent some of the most valuable information assets, largely miss out on this AI wave. To use AI on relational data, practitioners still use conventional machine learning approaches and build per-task and per-dataset specific ...