How to build the data foundation your AI agents can trust

In this webinar, Eric Carr, a partner solutions architect at Fivetran, discusses the evolution of the modern data stack and the rising need to architect data foundations specifically for AI agents rather than just human analysts. Eric explains how the combined Fivetran and dbt Labs solution addresses these issues through four pillars:

• moving data with managed connectors and unstructured data support,
• managing data via a managed data lake service with open formats like Iceberg and Delta Lake,
• transforming data using dbt's modular SQL and the new fusion engine, and
• activating data back into operational tools like Salesforce via reverse ETL.

A live demo showcases an end-to-end workflow where Salesforce and Zendesk data are synced, transformed into actionable metrics, queried by an AI agent, and then pushed back into Salesforce to inform customer success efforts.