Cognitive RPA Examples
technologies, including:
- Computer Vision,
- Cognitive automation,
- Machine Learning to Robotic Process Automation.
business value and competitive advantages for organisations.
Artificial Intellgence applications on which (UiPath) RPA can take advantage of to create "Cognitive RPA" include:
- StanfordNLP Text Analysis,
- Google Text Analysis,
- IBM Watson NLU Text Analysis,
- Microsoft Text Analysis.
- Google Cloud Contact Centre - Robots can retrieve and manipulate data from multiple systems and
legacy applications in a time-constrained contact center setup, resulting in faster response
time to customer queries - Learn more here - Stanford NLP - Using Stanford's natural language processing (NLP) capability, UiPath robots
contribute to the automation of financial reports by standardizing the business process logic and validating
data in tables and in the narrative - Learn more here - ABBYY FlexiCapture - In providing for the transformation of unstructured data inputs into structured
data that can then be further processed and communicated, such integration of OCR technologies allows for a perfectly
aligned interplay with RPA. As a consequence, the content of an invoice that arrives via post, for example, does
not have to be manually entered into the system. Instead, the document can be scanned at arrival, whereupon OCR can
extract the relevant information and the RPA software robots are able to send the data to the company’s database.
Learn more here - Processing Unstructured Incoming Emails - The solution involved machine learning, natural language processing,
intelligent OCR and analytics capabilities, blending into a single user interface the accuracy, speed and scale of UiPath’s
Enterprise RPA Platform with the expert capabilities from Microsoft Cognitive Toolkit, IBM Watson and ABBYY.
Learn more here
Learn more here on UiPath's Cognitive RPA.
Launch UiPath Cognitive RPA Video (3 mins)