3 Reasons You Should Use AI with RPA:
The promise of RPA is to automate the manual, repetitive and rules based actions or business processes. At its core it will monitor systems and perform repetitive activities 24/7. A common use for RPA is to provide help desk functionality like password changes through a chat bot. The chatbot can understand the user need to reset their password and RPA performs the reset automatically. This allows, organizations to focus on higher value task, gaining productivity and efficiency.
Companies are discovering that RPA is limited in its capabilities use cases to rudimentary data movements between systems. While RPA was solving repetitive problems, it had its limitations.
+RPA couldn’t interpret unstructured data inputs such as; emails, videos, images, audio files, presentations, web pages and other multimedia.
+RPA can’t perform tasks that requires judgments based on phraseology or sentiment.
+RPA doesn’t have the ability to learn from experience or evolve.
If mundane task must be done by a non-human, we need cognitive software that mimics human patterns of judgment, creativity, emotional tone and response and the ability to learn from experience and self-invent/evolve. This fueled the Dayhuff Group to combine cognitive with RPA.
Cognitive RPA is software that is wired with the ability to decipher human language and writing and to respond to them with keen judgment and accurate emotional tone, just like any human would do.
3 REASONS COGNITIVE RPA IS BETTER THAN RPA:
1. Exponential increased productivity: Instead of only being able to interpret simple inputs and translate those inputs to other systems, cognitive can read and interpret information. Things like police reports, medical records, resumes and the like can be read and understood by cognitive.
2. Increase accuracy: Reading through a 100 page document to find the area that deals with your query is tedious at best and lends itself to error. Activities like this can be performed by cognitive engines in seconds eliminating the need and increasing the accuracy.
3. Higher value activities: Cognitive RPA can be applied to many more use cases than RPA alone. If RPA is limited to activities that don’t include cognitive interpretation you are only focused on lower value tasks. Cognitive RPA allows you to move up the food chain of value to drive greater efficiencies.
If you are going to adopt RPA in the organization and expect a solid return for the effort, you should seriously consider broadening the capabilities of RPA with a cognitive engine. This will allow for a much better user experience and limit your options for automation to basic functionality.