Chapter 11: AI Center Advanced Topics
In the previous chapters, we saw how we could leverage machine learning (ML) to assist with receipt processing and email classification. While these use cases are very popular, there are many other types of use cases that Named Entity Recognition (NER) models or custom ML models can be applied to.
In this chapter, we will cover the following topics:
- Named Entity Recognition (NER) with AI Center
- Deploying your own custom models to AI Center
We will introduce the concept of NER, a task that opens new types of use cases we can apply ML to. We will also venture into deploying custom Python ML models into AI Center, as there are many instances where organizations have their own prebuilt ML models that can be leveraged with RPA.
Once complete, we will have an understanding of how to leverage UiPath's NER capabilities, as well as how to connect your own custom Python models to AI Center.
