Blue Prism® Decision provides Blue Prism users with the ability to train and deploy intelligent machine‑learning decision‑making models within their Digital Workforce, without requiring any data science expertise. Blue Prism Decision's simple and intuitive user interface allows users to:
- Define a model – Add a title, description, decision type, and decision variables.
- Train the model – Use active learning based on defined input variables specified by the model service, without needing any data science knowledge to produce statistically accurate machine‑learning models.
- Calibrate the model – Review model inputs and outcome predictions, and overwrite model decisions if required.
The following documentation about Blue Prism Decision is available in this help system and as individual PDFs:
For release notes, see the Hub 4.7 release notes