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RPA implementations are currently bound by the need to predefine a structured dialogue, or utilize an existing structure User Interface dialogue. Natural Language Processing, as an area of high interest and activity within Artificial Intelligence, shows promise in the ability to advance RPA bots beyond this structured dialogue.
Select one of the following components of Natural Language Processing/Natural Language Understanding and elaborate on how you feel advancements in this area will benefit future RPA projects.
- Intent classification
- Named Entity extraction
- Dialogue Management
The process of deploying and integrating Robotic Process Automation software and bots within an organization to automate and streamline various business processes is referred to as RPA implementation. Planning, design, programming, testing, deployment, and continuing management are all critical aspects of RPA implementation.
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