The Databricks Unity Catalog integration of Collibra Platform for AI comes out-of -the-box with your software.
Important The functions of Azure ML integration is limited if you do not enable AI Governance. When you enable AI Governance, you can add custom attributes or custom relations to the Azure AI asset.
| Asset type | Description |
|---|---|
|
Databricks AI Model Version
|
A subtype of AI Model Version that represents AI model versions in Databricks AI. |
|
AI Model Deployment
|
The operational instance where a model version is assigned computational resources to execute and generate real-time outputs. |
|
AI Base Model
|
Represents foundational models used in your Databricks AI workspace. |
|
AI Endpoint
|
The access point for external systems that provides a consistent interface while allowing for the seamless exchange of underlying deployments. |
|
AI Monitor
|
The configuration of automated tracking parameters and alerting thresholds used to observe a deployment’s real-world performance and detect deviations from expected behavior. |
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