Knowledge-based systems can be found primarily in the fields of artificial intelligence, automation, and Industry 4.0. The term describes a special type of computer program that can store, intelligently use, and utilise knowledge for decision-making processes. Their aim is to make human expert knowledge digitally available and to take over tasks that would otherwise require experts.

A knowledge-based system typically consists of a knowledge base containing a wealth of information and rules, as well as a so-called „machine brain“ that searches for suitable solutions to a given question. The system analyses the inputs and suggests appropriate recommendations or solutions.

A practical example: On a modern production line, a knowledge-based system continuously checks machine production data. If an anomaly is detected, the system recognises that a problem might soon arise and recommends maintenance to the technician in advance. 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 building block for process automation.

Knowledge-based systems can be found primarily in the fields of artificial intelligence, automation, and Industry 4.0. The term describes a special type of computer program that can store, intelligently use, and utilise knowledge for decision-making processes. Their aim is to make human expert knowledge digitally available and to take over tasks that would otherwise require experts.

A knowledge-based system typically consists of a knowledge base containing a wealth of information and rules, as well as a so-called „machine brain“ that searches for suitable solutions to a given question. The system analyses the inputs and suggests appropriate recommendations or solutions.

A practical example: On a modern production line, a knowledge-based system continuously checks machine production data. If an anomaly is detected, the system recognises that a problem might soon arise and recommends maintenance to the technician in advance. 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 building block for process automation.