Hyperautomation
Hyperautomation is the use of advanced technologies, such as artificial intelligence and machine learning, to automate and optimize complex business processes.
Gartner Trend: Hyperautomation
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.)
— https://www.gartner.com/smarterwithgartner/gartner-top-10-strategic-technology-trends-for-2020
Examples of Hyperautomation
- 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.
Automation:
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- Robotic Process Automation (RPA)
- Artificial Intelligence (AI)
- Machine Learning (ML)
- Natural Language Processing (NLP)
- Business Process Management (BPM)
- Intelligent Document Processing (IDP)
- Chatbots and Virtual Assistants
- Process Mining
- Low-Code and No-Code Platforms
- Intelligent Automation
- Automation Anywhere
- UiPath
- Blue Prism
- Cognitive Automation
- Process Orchestration
- Digital Process Automation
- Intelligent Robotic Process Automation
- Hyperautomation Strategy
- Hyperautomation Framework