Document AI now stores any published or trained models within the Snowflake Model Registry.
You can now copy the Document AI models between databases or schemas in the same account or between different accounts in the same organization, to easily manage and control model releases with versioning and role-based access control (RBAC). The model registry serves as the control plane for deploying Document AI model versions safely and efficiently across environments.
This feature is available to accounts in AWS and Microsoft Azure. Google Cloud is not supported.
For more information about copying Document AI models, see Copy Document AI models between databases, schemas, and accounts.
Note: New Document AI models are automatically integrated into the model registry; existing models must be manually integrated.
- To manually integrate an existing model into the model registry, when prompted, select Start on the integration banner in the UI.
For more information, see Document AI: CREATE MODEL privilege required to create, publish, and train model builds.
Source: Snowflake
Latest Posts
- Power Platform admin center – Advanced connector policies [MC1403390]
![Power Platform admin center – Advanced connector policies [MC1403390] 2 pexels googledeepmind 17485678](data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==)
- Amazon EC2 M8a instances now available in the Asia Pacific (Mumbai) region

- Amazon RDS Custom now supports the latest CU and GDR updates for Microsoft SQL Server

- Amazon EC2 C7a instances are now available in the Asia Pacific (Singapore) Region


![Power Platform admin center – Advanced connector policies [MC1403390] 2 pexels googledeepmind 17485678](https://mwpro.co.uk/wp-content/uploads/2024/08/pexels-googledeepmind-17485678-150x150.webp)



