A hyper-automation platform is a comprehensive platform that brings together a variety of advanced technologies, the main components of which usually include RPA (Robotic process automation), AI (artificial intelligence), machine learning (ML), and other related technologies and tools.

RPA (Robotic Process Automation) : RPA is the core component of the ultra-automation platform, which automates the workflow by simulating the operation behavior of humans on the computer.

RPA can operate across systems and platforms, effectively improving the efficiency and accuracy of the enterprise.

AI (Artificial Intelligence) : AI plays an important role in ultra-automated platforms, including natural language processing, intelligent decision-making, and more.

AI technology can enable the platform to learn and adapt, adjust itself according to environmental changes and task demands, and complete tasks in an optimal way.

Machine Learning (ML) : ML is another key technology for ultra-automated platforms, which enables platforms to learn from data and improve their own performance; With ML, hyper-automation platforms can identify, review, and automate as many business and IT processes as possible.

In addition, hyper-automation platforms may include API integration technologies, event-driven software, and other decision processes and automation toolsets; These technologies and tools work together to help organizations automate broader and higher levels of business processes.

It is important to note that the term "super automation platform" may not be common, and in general, "super automation platform" already covers the concept of high automation.

The so-called "super automation" may be a further emphasis or misuse of the concept of super automation; In practical applications, appropriate automation technologies and tools should be selected according to specific scenarios and needs.