GenAI for SQL & ETL: Turn Unstructured Data into Insight

Enterprises generate massive amounts of unstructured data — from support tickets and PDFs to emails and product images. But extracting insight from that data requires brittle pipelines and complex tools.

Databricks AI Functions make this simpler. In this session, you’ll learn how to apply powerful language and vision models directly within your SQL and ETL workflows — no endpoints, no infrastructure, no rewrites.

We’ll explore practical use cases and best practices for analyzing complex documents, classifying issues, translating content, and inspecting images — all in a way that’s scalable, declarative, and secure.

What you’ll learn:

• How to run state-of-the-art LLMs like GPT-4, Claude Sonnet 4, and Llama 4 on your data
• How to build scalable, multimodal ETL workflows for text and images
• Best practices for prompts, cost, and error handling in production
• Real-world examples of GenAI use cases powered by AI Functions