Artificial intelligence is primarily used in industry to optimize production processes. This usually involves analyzing data in order to identify patterns and predict processes. Until now, this has required knowledge of data science. This meant that process engineers and technical experts had to rely on appropriate support for complex tasks such as data cleansing, data analysis and model creation.

New era of AI use

The AI technology Aivis is intended to democratize artificial intelligence - users are to become independent of data specialists.

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Aivis applications perform these tasks based on unprocessed and unsynchronized raw data in an unsupervised and fully automated manner. The aim is to enable data owners to use artificial intelligence methods themselves with little effort.

Many machine learning platforms basically function like search engines for mathematical methods and solution approaches. They often suggest several methods from which users have to make a choice. Aivis, on the other hand, does not ask users to select the best mathematical method to solve the current problem. Aivis is already the best method, so to speak. It is based on a comprehensive and powerful mathematical methodology that is adapted to the data challenges and questions of the industry. The theory on which the product is based is a further development of kernel machines with methods from stochastic differential geometry and quantum field theory. These make it possible, for example, to calculate hyperparameters directly geometrically.

PerfectPattern 's tool currently comprises three product groups: Insights is used for the automated creation of reports to clarify why something is happening. Predict enables, among other things, the automated creation of virtual sensors to determine what is currently happening. Prevent ensures continuous protection against process interruptions, for example.