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Applica - Robotic Text Automation
by Applica.ai
0
Connector
4
Summary
Summary
Overview
Overview
Applica‘s proprietary brain-inspired Contextual Awareness technology gives companies the ability to interpret documents in a highly contextualized way, giving meaning and classification to every harvested datapoint – enabling decision making and further document processing using UiPath RPA. It can be trained to new use-cases with just a handful of examples and self-learns from interactions with end-users. Thus, Applica can be rapidly deployed by non-experts in a wide variety of business settings.. Applica is engineered by a world-class R&D team of over 50 PhDs and AI scientists.
The Applica-UiPath Connector is ready to use, please contact us directly to access it. It provides the integration between UiPath and Applica’s Robotic Text Automation platform. Typically, automation of a text-intensive process consists of five main steps. First the documents are downloaded from a repository using UiPath and are OCRed. The next step consists of business context identification (e.g.: customer or case number) and its accuracy is crucial for the entire process. For this reason, the data harvested in this step is validated using UiPath against the customer’s database for cross validation. In the next step, the actual classification and contextual extraction of information takes place. For each datapoint Applica yields a confidence level that is used for decision making regarding automated vs. manual processing. The datapoints extracted by Applica are passed on to UiPath for further processing (e.g.: entry of the extracted data into the user's desired system, further decision making, etc.). For additional details please visit the "Resources" tab and consult the Workflow graph and "IntegrationDescription" file.
Features
Features
Additional Information
Additional Information
Dependencies
Technical
Updated
Mar 12, 2020Works with
Studio: 20.3 - 22.10
Tags
ai
classification
extraction
nlp
Application
Applica
Support
UiPath Community Support
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