Ship Better Models:
A New ML Workflow with a Context Layer and Agents

On-demand Webinar

In this session, we’ll show how that same layer becomes the foundation for AI agents that can investigate model behavior, uncover missed opportunities, and run controlled experiments in a Chalk Notebook - using the trusted context your ML teams already rely on.

We'll demonstrate how to:

• Define and organize the features and real-time signals used by ML models
• Initiate an ML data agent that retrieves and applies shared feature definitions
• Continuously improve ML models through dataset generation, training, and experimentation in a Chalk notebook
• Reduce duplicated logic across data science, ML engineering, and agent teams