AI Center is the infrastructure on top of which UiPath Document Understanding machine learning models run. These models can be deployed or instantiated for retraining with a few clicks (see this section).

Using a Document Understanding model involves these steps:

• Collect document samples and the requirements of the data points that need to be extracted.
• Label documents using Data Manager.

📘

Note:

Data Manager itself will connect to an OCR Service.

• Export labeled documents as a Training dataset to AI Center.

• Export labeled documents as a Testing dataset to AI Center.
• Run a Training Pipeline on AI Center.
• Evaluate the model performance with an Evaluation Pipeline on AI Center.
• Deploy the trained model as an ML Skill in AI Center.
• Query the ML Skill from an RPA Workflow using the Document Understanding ML activity pack.

📘

Note:

Remember that using Document Understanding ML Packages requires that the machine on which AI Center is installed can access https://du-metering.uipath.com.