Bring your own machine learning (ML) models. Or use pre-built ML models from UiPath, or from our partners.
Easily deploy ML models as AI skills so data scientists can quickly get their work into RPA developers’ hands and get back to model development.
Use the intuitive interface in UiPath Studio to insert AI skills into robots in a flash.
Get end-to-end visibility on model use. Version control your models. Keep track of your models, data, and user actions.
We give you a feedback loop that lets humans handle exceptions, validate data, and route models for retraining.
Same powerful engine, different ways to deploy
UIPATH ACADEMY
White paper
In this UiPath white paper, you will get a guide on the challenges and benefits of implementing and scaling AI. You will also learn how quick and easy it is to deploy, consume, manage, and improve your machine learning models through a single platform, AI Center.
Download the white paperCase Study
Read how Australia's largest mutual bank uses AI Center to improve its loan review process. The solution helped reduce backend work while improving customer and employee experience.
Read the case studyCase Study
Learn how UiPath and healthcare consultant Amitech Solutions have teamed up to use AI Center and Document Understanding to help a large healthcare payer improve outcomes, help its patients, and save time and money.
Read the case studyLook what happens when you combine RPA with AI
This video shows how to use UiPath starter model TPOT AutoML Classification to predict loan default. It also shows how to upload new data through Studio for model retraining.
See how to use AI Center and UiPath starter model English Text Classification to classify resumes into different functions, and how to automatically generate emails with matching job links based on the model predictions.
See how to use AI Center and a custom Inventory Management model to predict sales, and the optimal inventory for each product to maximize sales revenue. This video also shows human validation and model retraining, using Upload File activity.
This video shows how to add a custom field, create a new dataset, and retrain an invoice model, using Data Manager.
See how to use AI Center and Document Understanding to label data, add custom fields, and use the newly labeled data to retrain a receipt model.
See how to deploy Document Understanding model Utility Bills to AI Center, use the model to digitize and extract information from utility bills, and enter the information to
Data scientists
CoE RPA developers
Business users
WEBINAR
Get the recording of the one-hour session on achieving accelerated benefits by adding AI to RPA use cases.