What is AI Fabric? Pairing Artificial Intelligence with RPA

As it exists, AI Fabric is an integration of Artificial Intelligence and robotic process automation, paired to create a unique and intelligent tool. We’ll go into more detail on the packages, skills and logs of this tool in this article.

What is AI Fabric?

AI Fabric, the brain-child of UiPath, is an end-to-end intelligent skill creation and deployment tool for businesses looking to automate processes with minimal effort. AI Fabric connects seamlessly with UiPath studio and Orchestrator to create a unified experience within all UiPath Platforms. Through this tool, users developing automations can better orchestrate all functionalities of AI; deploying, consuming, managing and improving machine learning models.

AI Fabric is essentially the first step of deploying hyperautomation throughout your entire automation model. This tool allows users to rapidly examine all possible business processes with an evolving set of AI technologies, and identify what end-to-end processes are hyperautomation candidates. Through AI Fabric, both the human workforce and intelligent RPA work together to scale the automation capabilities in the organization.

Breaking Down the Machine Learning Model

ML Packages

  • PRO TIP: It is highly recommended that users acting as Data Scientists handle these ML Packages.

ML Skills

Skills can be managed within the Orchestrator tab in the ML Skills page, where you can see all the models deployed on the tenant (both ML and OS). Also within this page, users can view the statuses of packages that were created through ML Skills, what version they are, predictions and descriptions, and whether or not a GPU is required.

  • PRO TIP: It is highly recommended that users acting as Process Controllers handle model deployments.

ML Logs

ML Logs are essentially a consolidated view of all these ML-related events, such as package validation, deployment and prediction errors. Each event illustrates the start and finish times along with an any errors that may occur. Logs can be managed via the ML Logs page within Orchestrator.

  • PRO TIP: It is highly recommended that RPA Developers handle these specific workflows.

An AI Fabric Use Case

Through a simple UiPath workflow, AI Fabric can augment an unassisted bot to scan bulk emails (all with unique subjects and body copy) using ML Skill. These emails would then be sorted accordingly, classified by whether a message needs human intervention, or just an automatic response. Likewise, a similar use case can also be used for text classification across various industries.

Through the intelligent and scalable capabilities provided by AI Fabric, users can govern their own automations, save minutes or even hours on daily tasks, and focus on innovative drivers within their organization.

Looking for more on RPA?

Explore more insights and expertise at smartbridge.com/automation

Keep Reading: What is Hyperautomation? How to Automate End-to-End Processes

Originally published at https://smartbridge.com on June 9, 2020.

We’re geeks for the enterprise systems and tech that sustains and strengthens business. Simplifying business transformation. Smartbridge.com

We’re geeks for the enterprise systems and tech that sustains and strengthens business. Simplifying business transformation. Smartbridge.com