Agentic ML in Action

Learn how to go from a blank notebook to a monitored production model using natural language. In this session, see how Snowflake CoCo automates the ML lifecycle — helping teams accelerate everything from data exploration and model training to deployment and monitoring — all through conversation. Learn how agentic ML development collapses machine learning operations (MLOps) from weeks to minutes.

See how to use simple prompts with Snowflake CoCo to:
 

• Create a fully reproducible notebook with visualizations and analyses
• Build and manage features using Snowflake Feature Store, including guided suggestions on next steps
• Serve features and models in production on a single platform with built-in lineage and versioning