Data teams increasingly need to combine relational/tabular data (SQL Server/PostgreSQL/Cosmos DB, etc.) with unstructured data (images, text, audio) to build production-ready AI solutions. In this talk, we’ll walk through a practical, end-to-end blueprint for multimodal modeling using a real-world healthcare case study: handheld fundus images paired with patient clinical/demographic metadata for predicting diabetic retinopathy severity and related outcomes.