This post covers Databricks Lakeflow and Agent Bricks for embedding AI into ETL pipelines.
- •Agent Bricks offers ai_extract, ai_classify, ai_parse_document, and ai_query() for unstructured data processing at scale.
- •ai_query() uses serverless batch inference that auto-scales, reducing runtimes from hours to minutes.
- •Lakeflow Jobs natively orchestrates AI workloads in a unified governed platform.
- •Use cases: analyzing sales transcripts into CRM summaries and automating insurance claim ingestion.
Databricks