Now Robotics is Getting Interesting via Siri-like NLP Capabilities

C. Dunlap
Research Director

Summary Bullets:

• Natural language processing (NLP) market heats up under robotic process automation (RPA) integrations

• UiPath steps up its NLP play via acquisition

RPA vendors are adopting NLP technology at a rapid pace in response to enterprises’ stepped-up transformation efforts.

This week RPA vendor UiPath acquired AI pureplay Re:infer to help bolster UiPath’s native NLP capabilities. The start-up’s strengths are in transforming unstructured information from documents and communications into structured data, to be analyzed and integrated into broader automated workflows.
The consolidation between RPA and NLP comes as enterprises look to accelerate their digitization efforts which rely heavily on implementation of intelligent automation as part of operational efficiencies, projects which typically fall within emerging DevOps structures. NLP is proving to be the next logical phase of intelligent automation, and as such consolidation between RPA and NLP is going to become more commonplace.

Particularly attractive is the fact that NLP serves to help onboard users into software automation at the earliest phase of their transformation. For example, intelligent document processing (IDP), a form of intelligent automation, leverages optical character recognition (OCR), machine learning (ML) and NLP to extract, classify, and process data from various document types. A typical process involves converting text into a machine-readable form using OCR solutions, structuring, clustering, and uncovering patterns (using ML and NLP) in the information, then applying process mining technology to discover inefficiencies through operational processes event logs.

The move follows earlier efforts among rival cloud/automation platform players:

• Google partners with RPA players including Automation Anywhere and Blue Prism, leveraging Google’s NLP API to improve customer experience via to automatically classify, extract and validate information from business documents and email (e.g., to contextually respond to FAQ emails and schedule meetings, etc.). Google moved into the OCR space (technology providing the ability to recognize text from image), including the capabilities through Google Cloud Vision API for scanned documents.

• IBM is also combining RPA, NLP, and OCR technologies as part of its intelligent automation strategy branded IBM Cloud Pak for Automation and IBM Robotic Process Automation. IBM customers use an NLP engine combined with IBM RPA for tasks such as extracting text entities, spell check, and answering questions. The feature is branded Watson NLP and Legacy NLP.

GlobalData has determined that RPA providers having the most success addressing current business transformations have invested in systems which leverage technologies supporting self-learning and self-healing RPA (requiring no operational intervention), including NLP (please see “RPA Leads the Charge for Intelligent Automation and Process Mining,” December 22, 2021). For an additional comprehensive look at RPA and underlying technologies, market predictions, and providers GlobalData’s Thematics team will release its latest report on RPA later this summer.

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