Openflow to Agent: End-to-End Unstructured Data Insights

In today's data landscape, the most valuable insights are often trapped in messy formats: Google Drive document scans, public internet feeds, and disparate PDF archives. For many teams, the bottleneck isn't the data itself, but the weeks of manual engineering required to ingest, clean, and make that data searchable. This session is for the architects and engineers who need to bridge that gap now, not next quarter.

We solve the unstructured problem by combining the flexible ingestion of Openflow with the native AI capabilities of Snowflake Cortex. By automating the journey from source to Snowflake, we leverage LLM-powered functions to structure raw data instantly, making it accessible to custom AI Agents and Snowflake Intelligence without complex, external middleware.

In this Hands-on Lab, we will be:

• Ingesting unstructured data from Google Drive and public feeds via Openflow.
• Using Cortex AI functions (SQL) to analyze and structure the data natively within Snowflake.
• Feeding these refined insights into Cortex Analyst and Search for natural language discovery.
• Deploying a custom Cortex Agent complete with error notifications and custom tools.Surfacing the Cortex Agent via Snowflake Intelligence.

Attendees will leave with the blueprint for a production-ready environment and the knowledge of how to replicate this entire end-to-end ecosystem in their own environments in record time.