Azure AI Foundry is an enterprise AI operations platform that lets you build, train, and deploy generative AI models and AI agents. When you integrate Azure AI Foundry, you integrate the metadata of your AI models and AI agents from Azure AI Foundry to the Collibra Platform. The resulting assets are listed below:
- AI Base Model refers to base models used in your Azure AI Foundry workspace.
- Azure AI Foundry Model Deployment refers a deployment of an AI model in Azure AI Foundry
- Azure AI Foundry Model Version refers to a specific implementation of the model logic and parameters that serves as the audited model version before it is activated in Azure AI Foundry
- Azure AI Foundry Agent refers to an Agent created in the Azure AI Foundry Agent Builder.
- AI Agents are only available in the following regions:
- australiaeast
- eastus
- eastus2
- francecentral
- japaneast
- norwayeast
- southindia
- swedencentral
- uksouth
- westus
- westus2
- Azure AI Foundry Project refers to an Azure AI Foundry resource that manages the development, deployment, and management of AI Models and Agents.
- AI Monitor refers to the automated tracking parameters and alerting thresholds used to observe a deployment’s real-world performance and detect deviations from expected behavior.
- AI Endpoint refers to the access point for external systems.
Important
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You can configure Edge connections and capabilities without an active AI Governance license. However, AI Governance must be enabled to harvest AI model metadata, ingest corresponding AI assets in Data Catalog, and access the dashboards and features necessary to visualize and govern your AI landscape.
- This feature is available only in the latest user interface.
- You can integrate Azure AI Foundry only via Edge, not via Jobserver.
For more information about Azure AI Foundry, go to the Azure AI Foundry documentation.