Agentic Reasoning in Practice: Making Sense of Structured and Unstructured Data

Summary

Agentic AI combines structured and unstructured data to automatically answer complex business questions across data silos.

Agentic reasoning bridges data silos

Databricks demonstrates how agentic reasoning brings together structured databases and unstructured documents. Instead of manually combining data, AI agents autonomously navigate multiple sources to answer composite questions that previously required hours of manual work.

Why this matters for BI teams

Most enterprise data is scattered across tables, PDFs, emails, and documents. Traditional BI tools only handle structured data. Agentic reasoning breaks this limitation by enabling AI agents to reason across both data types simultaneously.

What to do with this

Explore how agentic AI frameworks like those from Databricks can complement your current reporting processes. Start with a use case where analysts currently combine structured and unstructured sources manually.