Using AI_Functions in Your Data Warehouse: Top Use Cases
Databricks, Friday, August 14th, 2026
Databricks outlines six AI use cases that run in pure SQL inside the data warehouse.
Databricks published six AI use cases that can be run in pure SQL using AI_Functions, replacing the notebooks, APIs and pipelines teams use today.
The post explains that in most organisations data warehouses hold structured data while unstructured data sits in the data lake, an arrangement that works well for analytics workloads consuming structured data at scale.
AI workloads need different inputs, often parsing unstructured data such as reviews, support tickets and PDFs and combining it with structured data to train, build and serve models. AI_Functions closes that gap inside SQL. The post is authored by Srikant Das and Ismail Makhlouf.