Introduction into Artificial Intelligence in Manufacturing

In the 2nd part of the introduction, it is explained how you can see AI in the whole domain of manufacturing. Cyber physical systems is a very important word in AI; a connection between the
digital and the physical world. AI in manufacturing can be divided in 6 levels of maturity. The highest maturity level is related to autonomy, for example an adaptive robot in a factory or a self-driving car. AI in manufacturing is not only about machines but also about interaction, like value chains (e.g. the
life cycle of a product or the manufacturing chain). Important is also the human device interaction and the connected factory. AI in manufacturing can be divided into three layers. A virtual layer, a physical layer and a connecting layer (digital twin).

The base of AI is high quality data, which can be a priori data (data that is already available before the system is there) and a posteriori data (data from a system that is already available). The nugget ends with a project (called Megafit) example, including a demonstrator video.