Knowledge-based systems are primarily found in the fields of artificial intelligence, automation and Industry 4.0. The term describes a special type of computer programme that can store knowledge, use it intelligently and apply it to decision-making processes. Their aim is to make human expertise digitally available and take over tasks that would otherwise require experts.
A knowledge-based system usually consists of a knowledge database with lots of information and rules as well as a so-called "machine brain" that searches for suitable solutions to a problem. The system analyses the input and suggests suitable recommendations for action or solutions.
A practical example: In a modern production line, a knowledge-based system continuously checks the production data of machines. If a deviation is detected, the system recognises that a problem could soon arise and recommends maintenance to the technician at an early stage. This reduces downtime and costs.
Knowledge-based systems are interesting for companies because they help to optimise processes and secure knowledge. Especially in the age of artificial intelligence, they play an important role and are often a central component for the automation of processes.
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