Governing AI assets with watsonx.governance

Use the governance suite of tools to track facts about machine learning and foundation models throughout the AI lifecycle.

Service The required service is not available by default. An administrator must install the watsonx.governance service on the IBM Cloud Pak for Data platform. To determine whether the service is installed, open the Services catalog, and check whether the service is enabled.

Governance in action

Your governance strategy is tailored for the needs of your organization. Governance is a collaborative process, involving users from various roles and areas of expertise. This illustration depicts a typical governance flow, from request to monitoring in production, along with sample user personas.

watsonx.governance flow

Governance scenario

A typical governance scenario might include this sequence:

  1. A business user identifies a need for an AI solution and creates an AI use case to request a new model.
  2. When the request is saved, the AI use case is created in the inventory, and the tracking begins. Initially, the use case is in the Draft state because there are no assets to accompany the request. Optionally, an approval process can be implemented to automate reviewing and approving the use case before assigning it to a data scientist.
  3. When a data scientist creates a model or prompt template for the use case, they associate the asset with an approach in the use case. An approach represents one facet of the solution being tracked in the use case. A use case can include multiple approaches. The details for the asset, such as training data and creation details are captured in a factsheet and stored in the use case.
  4. As the asset advances in the lifecycle, the use case and the associated factsheets capture all updates, including deployments and evaluation results. Collaborators can generate reports from AI uses cases to use for compliance goals or archiving. From the watsonx Governance Console, users can also use report views to verify regulatory compliance or save the report views for archival purposes.
  5. Validators and other stakeholders can review individual AI use cases or view enterprise governance activity from the watsonx Governance Console to ensure compliance with corporate protocols.

Learn more

Use a sample project to try out watsonx.governance features with the tutorial Quick start: Evaluate and track a prompt template.

Parent topic: Governing assets with watsonx.governance