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Video Demo
Model, and Manage Permissions to Users with UiPath Data Service
In this demo, we show how you can model and manage permissions with the UiPath Data Service
Video Demo
AI Use Case: Loan Default
See how to use AI Center and TPOT AutoML Classification to predict loan default, and enter predictions into a CRM.
Video Demo
AI Use Case: Inventory Management Retraining
In this use case see how the robot can predict the necessary inventory for each product in order to maximize sales and revenue for the next time period
Video Demo
UiPath AI Center: Inventory Management
Increasing inventory to meet sales prediction is a cinch when using AI Center.
Video Demo
UiPath StudioX: Your First Task Automation
Watch this step-by-step guide to build your first task automation with UiPath StudioX
Video Demo
UiPath Studio: Your First Process Automation
Watch this step-by-step guide to build your first process automation with UiPath Studio
Video Demo
UiPath Test Suite: End-to-End Automation
This demo will provide an overview of the end-to-end testing capabilities in UiPath Test Suite.
Video Demo
AI Use Case: Employee Sentiment Analysis
This demo video uses two AI Center ML models to gather employee reviews, extract information from the reviews, present summary in an excel, and generate a report.
Video Demo
'A Robot for Every Person™': Evaluate Job Candidates (Human Resources)
Watch the demo to see how the robot helps the HR professional research viable candidates, and prepare for interviews
Video Demo
AI Use Case: Email Classification
Watch how AI Center augments an unassisted robot to quickly classify bulk emails using the ML Skill
Video Demo
UiPath Document Understanding Demo 1: Setting up the framework in Studio
See how to teach your robots “understand” documents using the powerful AI capabilities and pre-trained ML models in the Document Understanding framework
Video Demo
AI Center Use Case: Customer Churn Prediction
Learn how to use UiPath AI Center out-of-the-box machine learning model Tabular Data TPOT Classification to predict customer churns