Modern Document Understanding production deployment issue

This product seems to have the same issue as the integration service once had. We trained a model in a Dev tenant and moved it to Prod (export/import etc.). The automation was also developed linked to this Dev tenant.

After publishing the project to production, we got the error “Extract Document Data: The resource requested on StartDigitization cannot be found.”

This happened because Studio still referenced the model in the DEV tenant. To fix that, we had to connect Studio to the PROD tenant, reselect the model in Studio, and republish.

It would be nice to be able to use an argument in the Orchestrator under ‘edit process’ → Package requirements.

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@mikebosWPP I did faced same kind of issue. So I made the ML skill as public and used the endpoint to access it.

Thanks,
Sagar

Hi Sagar,

Thanks, that sounds like another good workaround, although I wonder if that doesn’t raise some data security flags.

I hope this functionality gets improved so we can select the needed models directly from the process in Orchestrator.

Hello,

We are working on bringing both cross-tenant support to the DocumentUnderstanding.Activities pack, as well as variable support for project and version/tag selection.

This will make migration of code from dev to UAT to prod much easier, as all you will need to do is store the project + version or tag in some sort of configuration (like an asset), configure that properly in your environments, and the same automation should run correctly.

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Delivered our first project in modern experience in our company. I was very disappointed to know that we need to connect to robot machine ( only that has production tenant access ) and change project to point out the production model. Why is it nos visible in process requirements like asset, queue, connection for integration service… ?

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