Hyperautomation is the use of advanced technologies, such as artificial intelligence and machine learning, to automate and optimize complex business processes.
Hyperautomation deals with the application of advanced technologies, including artificial intelligence (AI) and machine learning (ML), to increasingly automate processes and augment humans. Hyperautomation extends across a range of tools that can be automated, but also refers to the sophistication of the automation (i.e., discover, analyze, design, automate, measure, monitor, reassess.)
Robotic process automation (RPA): Using software robots to automate repetitive tasks, such as data entry and form processing.
Intelligent process automation (IPA): Combining RPA with artificial intelligence and machine learning to automate more complex processes that involve decision-making.
Chatbots and virtual assistants: Using natural language processing to create chatbots and virtual assistants that can handle customer queries and provide personalized support.
Business process management (BPM): Using software to manage and automate end-to-end business processes, from customer onboarding to invoice processing.
Machine learning and predictive analytics: Using algorithms to analyze data and identify patterns, which can then be used to automate decision-making processes.
Cognitive automation: Using artificial intelligence to replicate human cognitive processes, such as learning, problem-solving, and decision-making.
Optical character recognition (OCR): Using software to extract text from scanned documents, images, and PDFs, which can then be used to automate data entry and other processes.
Workflow automation: Using software to manage and automate workflows, from approvals to task assignments and notifications.
Application programming interfaces (APIs): Using APIs to connect different systems and automate data transfer and integration between them.
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