Viewing a factsheet for a tracked asset

Review the details that are captured for each tracked asset in a factsheet associated with an AI use case. You can also print a report to share or archive the factsheet details.

What is captured in a factsheet?

From the point where you start tracking an asset in an AI use case, facts are collected in a factsheet for the asset. As the asset moves from one phase of the lifecycle to the next, the facts are added to the appropriate section.

Important: The factsheet records the most recent activity in any category. For example, if you evaluate a model in a pre-production space, and then evaluate it in a production space, the details from the production evaluation are captured in the factsheet, over-writing the previous data. Thus, the factsheet maintains a complete record of the current state of the asset.

Tracking details

When tracking is enabled, the recording of facts is triggered by actions on the tracked asset. Similarly, changes in the AI lifecycle control where the asset displays in an AI use case, to show the progression from development to operation. For example, when an asset is saved in a project and tracking is enabled, the asset displays in the Develop phase. When an asset is evaluated, whether in a project or space, the use case is updated to show the asset and all evaluation data in the Validate phase. Deployments in production display in the Operate phase.

Model location	Develop	Validate	Operate
Project	✓
Preproduction space		✓
Preproduction space		✓
Production space			✓

Note: If you created AI use cases in a previous version, factsheet data that was listed in the Test phase is now listed in the Validation phase. This reflects an emphasis on better reflecting the asset lifecycle rather than focusing on whether an evaluation was conducted in a project or space.

Next steps

Click Export report to save a report of the factsheet.

Parent topic: Governing assets in AI use cases