UiPath AI Fabric

UiPath AI Fabric allows users to seamlessly deploy, manage, and execute machine learning models directly within their Robotic Process Automation workflows. It acts as a bridge, enabling bots to call upon specialized AI models for tasks that require cognitive skills, like sentiment analysis. This integration allows automations to handle unstructured data rather than just rigid, rules-based tasks.

Document Understanding is a core capability of UiPath AI Fabric that utilizes OCR and machine learning to extract data from semi-structured and unstructured documents like invoices and receipts. It allows the RPA bots to read, classify, and extract specific information from varied file formats. This drastically reduces the need for manual data entry in enterprise environments.

Yes, UiPath AI Fabric is designed to support both UiPath's proprietary models and custom, open-source models. Data scientists can package Python-based models built with frameworks like TensorFlow or PyTorch and deploy them directly to AI Fabric. This allows businesses to leverage their own bespoke algorithms within their automated processes.

While basic UiPath automation can be achieved with low-code visual builders, effectively deploying models in AI Fabric often requires some technical knowledge. Data scientists or ML engineers are typically needed to package, train, and fine-tune the machine learning models using Python. However, once deployed, RPA developers can easily drag and drop the ML activities into their workflows using UiPath Studio.