Bringing AI to Your Data: Using SQL Functions in Databricks

Databricks AI Functions make it easy for analysts and data engineers to integrate advanced AI capabilities into data workflows—no ML expertise is required. These built-in SQL functions let you apply tasks like sentiment analysis, text summarization, and language translation directly to data in Databricks, whether you're working in SQL queries, notebooks, DLT, or Jobs.

This session will walk through practical applications of both general-purpose and task-specific AI Functions, showing how to analyze text data at scale using simple SQL. You'll learn how to convert unstructured content into structured insights, and how to embed AI directly into batch pipelines and analytics processes.

What You’ll Learn:

• How to use AI Functions for reliable, scalable batch processing of large datasets
• Best practices for managing cost and performance when applying AI at scale
• Real-world examples of AI Functions improving productivity and insights in production environments