LOUISVILLE, KENTUCKY
ATLANTA, GEORGIA
CHICAGO, ILLINOIS
CINCINNATI, OHIO
DENVER, COLORADO
MADISON, WISCONSIN
RARITAN, NEW JERSEY
TORONTO, ONTARIO
NOIDA, INDIA
HYDERABAD, INDIA

V-Soft's Corporate Headquarters

101 Bullitt Lane, Suite #205
Louisville, KY 40222

502.425.8425
TOLL FREE: 844.425.8425
FAX: 502.412.5869

Denver, Colorado

6400 South Fiddlers Green Circle Suite #1150
Greenwood Village, CO 80111

TOLL FREE: 844.425.8425

Chicago, Illinois

208 N. Green Street, #302, Chicago, IL 60607

TOLL FREE: 844.425.8425

Madison, Wisconsin

2810 Crossroads Drive, Ste. 4000
Madison, WI 53718

TOLL FREE: 844.425.8425

Atlanta, Georgia

1255 Peachtree Parkway Suite #4201
Cumming, GA 30041

TOLL FREE: 844.425.8425

Cincinnati, Ohio

Spectrum Office Tower 11260
Chester Road Suite 350
Cincinnati, OH 45246

Phone: 513.771.0050

Raritan, New Jersey

216 Route 206 Suite 22 Hillsborough Raritan, NJ 08844

Phone: 513.771.0050

Toronto, Canada

1 St. Clair Ave W Suite #902, Toronto, Ontario, M4V 1K6

Phone: 416.663.0900

Hyderabad, India

Incor 9, 3rd Floor, Kavuri Hills
Madhapur, Hyderabad – 500033 India

PHONE: 040-48482789

Noida, India

H-110 - Sector 63 ,
NOIDA , Gautham Budh Nagar ,
UP – 201301

Integrating RPA and AI with UiPath's AI Fabric

incorporating AI models within RPA workflows

UiPath is one of the leading RPA platforms and has been recognized as a Magic Quadrant leader in RPA by Gartner in 2019 and 2020. To maintain its stronghold as the industry leader, UiPath launched AI Fabric, a ground breaking service aimed at incorporating machine learning models within RPA workflows. 

The Power of RPA-AI Integration

RPA drives automation by automating repetitive tasks like invoice processing, task management, application integration, data integration, and so on. These actions are straightforward and don't require critical thinking. Adding AI capabilities into RPA workflows opens up new automation potential like making informed decisions, predictive intelligence, and so on. Generally, AI in association with RPA can address many real-world problems. 

What is AI Fabric?

AI Fabric deploys machine learning capabilities within RPA workflows. Developers can choose the requisite AI and ML Model and just drag and drop into the RPA Workflows via UiPath. AI Fabric use cases are similar to RPA uses cases that add an additional layer of intelligent business automation.

The Benefits of UiPath's AI Fabric

  • Helps make critical business decisions quickly
  • Achieves language transition, detection, and sentiment analysis
  • Enhances knowledge among data scientists and developers
  • Resolves integration challenges 
  • Makes it easy to deploy AI models 
  • Adds easy drag and drop ML models into automation workflows

How AI Fabric Improves Efficiency of RPA Workflows

The efficiency of RPA workflows to deliver results depends on the accuracy of the input data. AI Fabric simplifies the process by providing necessary information to develop and evolve the AI model according to varying business requirements and context. Thereby ensuring that the developed models are smart enough to handle uncertainties, exceptions, and other challenges. To enhance the efficiency of the RPA workflows, AI Fabric brings together the developer, analyst, business professional, and data scientist.

AI Fabric by UIPath RPA workflow

Figure: Steps of AI Fabric

The Machine Learning models in AI Fabric consist of 3 parts: ML Packages, ML Skills, and ML Logs.

ML Packages

ML Packages encompass the Machine Learning model code and are available within the RPA workflows in Orchestrator and UiPath Studio. These packages can be managed in Orchestrator through ML Packages and allows us to view packages in available versions, statuses, and changelogs. We can upload new package versions and also delete unused or undeployed packages.

ML Skills

ML Skills are ready-to-use in RPA workflows. Upon deploying ML packages or OS packages as ML skills, these can be directly used in RPA workflows. The Process Controller, Data Scientist, or RPA Developer are authorised user roles to handle these deployments. The ML Skills page provides detailed information (like status, package name, version, and so on) about the models deployed.

ML Logs

AI Fabric deploys skills created within the machine language skill. After deployment, optimizing security checks, installing various dependencies, setting up a network within the tenant namespaces, and finally checking the overall performance of the Machine Language Skill. Machine Language Logs are consolidated to Machine Language related events, such as package validation, deployment, and prediction errors. Each event is added to start and finish time logs and checked for errors. Logs can be managed via the ML Logs page within Orchestrator.

Robotic Process Automation Guide

Topics: UiPath, RPA

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