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Business and Tech Advantages in Upgrading from RPA to IPA

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Perhaps you’ve implemented RPA in your company. You may or may not have seen improvements and hit the goals or metrics you were hoping to achieve. Whether you’ve seen success or not, there’s still room for improvement by adding AI. This piece gives an overview of the differences between RPA (robotic process automation) technology and IPA (intelligent process automation), and spells out the advantages of each. 

For example: even after implementing automation, many employees still spend hours of time manually handling processes that are too complex for RPA. These include data extraction, data normalization, and turning unstructured content (e.g. text and images) into a structured, usable format.

Learn more about IPA (Intelligent Process Automation), which combines RPA with machine learning and fundamental process redesign. Unlike RPA, which mimics click work carried out by humans, IPA was designed to mimic human intelligence and to learn and improve over time. Intelligent automation can be used in more advanced, multi-step business processes that require experiences-based AI decision making, instead of the typical rule-based decision making of RPA.

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