From Source to Agent: 3 Steps to AI-Ready Data Products

A practical playbook for making your data agent-ready ahead of 2027

AI agents are only as good as the data behind them. Whether your data lives on Snowflake or across several platforms, the question is the same: which of it your agents can trust? The answer is data products: data with an explicit contract for quality, meaning, and governance, so an agent knows what it can rely on.

Join Snowflake and Ataccama for a practical session on closing that gap in three steps. You'll learn how to:

• Prioritize and govern your critical data elements (CDEs) based on the decisions and agents they power
• Catch data quality issues in your pipelines before bad data reaches your agents, using rules that run natively in Snowflake
• Give Cortex Agents governed context through Snowflake Semantic Views and real-time trust signals, so users can see how reliable each answer is

You'll watch each step in action, from source to agent and leave with a playbook for your 2027 AI agent rollouts.