An article by Kevin Casey explaining what is the difference between Robotic Process Automation (RPA) and AI. The expanding universe of artificial intelligence includes many terms and technologies.
While just about everyone agrees that machine learning is an AI discipline, that same consensus doesn’t exist with RPA and AI.
One reason for this is lack of consensus is that RPA technologies and use cases to this point haven’t been all that “intelligent.” RPA can do a great job of handling repetitive, rules-based tasks that would previously have required human effort, but it doesn’t learn as it goes like, say, a deep neural network. If something changes in the automated task -– a field in a web form moves, for example –- the RPA bot typically won’t be able to figure that out on its own.
The article then describes:
- What is the difference between AI and RPA?
- How RPA and AI work together
- What is intelligent automation?
- RPA and AI use cases
- RPA vs. automation: Plenty of room for humans
The pairing of RPA and AI may bring significant moves forward toward some of the loftier predictions about automation and the future of work.
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