A large and, above all, steadily increasing number of Industry 4.0 use cases require wireless communication on the production floor. A large number of use cases already exist - let's take a look at a few examples Let's take a look at the internal transportation of goods. Autonomous industrial trucks…

Networked devices in the field already solve many problems and the potential is far from being fully exploited. In order to use the (industrial) Internet of Things - (I)IoT - a connection must be established for data transfer. On the factory floor, this can usually be done using the existing…

Some projects for the digitalization of existing processes take years, require a large budget and corresponding human resources - which is the right thing to do for core processes. However, there are processes in corporations and SMEs alike that only affect individual teams or are not at the heart of…

Spreadsheet programs are used in most companies and across departmental boundaries. The versatility of applications is enormous. The question of the accuracy of the results is often not asked. However, incorrectly evaluated measurement data or incorrect information on company key figures can have serious consequences. The question becomes even more…

With unsupervised learning, no answer is specified. The data that is transferred therefore does not have to be logically structured. The aim of this approach is to group similar elements. This is known as clustering. There are also numerous applications for this approach, such as presenting news articles on the…

In supervised learning, the correct answer to a question is provided together with the task. The logic according to which the data is to be processed is therefore known. This data set is called training data. The idea of a human explaining things to a machine applies well here. The…