Introducing Domino Model Sentry

Domino Model Sentry provides a tightly integrated capability suite for responsibly scaling and operating AI models. Model Sentry provides enterprises with the tools to ensure accuracy, fairness, transparency, and accountability across the model lifecycle.

Model Sentry spans six components which we'll review in this session:

1. Project Templates: Model Sentry's Project Templates help define standards and best practices to include in projects to facilitate responsible AI.
2. Model Registry: Domino's Model Registry helps create a secure information store to version and manage models regardless of where they were trained, all from a single pane of glass.
3. Automated Model Cards: Model cards automatically incorporate information about model lineage, algorithms, and experiments performed.
4. Model Review: Model Sentry's Model Review enables stakeholders across organizations and functions to operate on a single source of truth about a model.
5. Model Staging: Model Staging enables model deployment to separate environments.
6. Model Monitoring: Model monitoring detects data drift and prediction accuracy. Model monitoring tracks input data and compares model outputs to ground truth.