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Common examples that use NLP are chatbots or virtual home assistants like Amazon's Echo or Google Home. Natural Language Processing (NLP) – An AI technology that interprets language and uses that information to make decisions and take an action.A good example is discovering patterns in data and then using those patterns to make accurate predictions.
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Machine Learning – An AI technology that can be defined as systems using data to improve those systems' performance without explicit instructions.Put simply, AI is a computer's ability to collect and extract information and apply logic to that data to make a decision. Artificial Intelligence (AI) – a combination of the technologies below that enables systems to perform tasks that require reason, judgment, and decision-making.Robotic Process Automation (RPA) – the automation of repetitive, rules-based business tasks.Here's a rundown of how each technology makes up Intelligent Process Automation: However, at a more granular level, there are specific Artificial Intelligence technologies that serve different purposes but are key components of IPA that enable the cognitive capabilities to automate more complex business processes. What Technologies Make Up Intelligent Process Automation?Īt a high level, Intelligent Process Automation is essentially made up of two major market technologies: RPA and AI. The promise of Intelligent Process Automation is rooted in its ability to elevate automation to another degree of complexity, creating even more efficiency, operational cost reduction, agility, and better experiences all around. It is the evolution of basic, rules-based task automation into the management and automation of entire business processes made up of numerous tasks.Īt its core, Intelligent Process Automation is the convergence of RPA and different Artificial Intelligence (AI) technologies to automate larger decision-based business processes that traditionally required an employee to intervene and execute. Intelligent Process Automation is the combination of different technologies to automate more complete, end-to-end business processes. Born out of rudimentary automation, Intelligent Process Automation is the next iteration of Robotic Process Automation (RPA) that continues to drive digital transformations forward. Intelligent Process Automation (IPA) is part of the wave of technologies that enable organizations to reduce operational costs, improve efficiency, and deliver better employee and customer experiences.