Use our expertise in Industrial Analytics as an accelerator for your plans. We are the partner at your side, with in-depth knowledge of the IoT and Analytics team, our experience from our own industrial application as well as from diverse customer projects. The spectrum is broad in terms of content and is tailored to your needs.
Our data science experts are at your disposal with the necessary experience. From the industry, for the industry.
Example: Use Case Workshop - making ML-based services specific & tangible
The challenge of finding the specific entry point
The focus on industrial applications
The approach, pragmatic and result-oriented
Your benefit, for a quick first success
With the selection of a suitable use case in the area of Industrial Analytics, the implementation can begin. In practice, a five-phase approach has proven to be successful. At the start of the project, the focus is on analysing the problem and defining the objective. The validation of the selected use case follows. This phase also determines which specific failures should be predictable. During the subsequent exploration phase, checks are carried out to see whether a defined error can be detected on the basis of the collected measured values or if a higher data quality is required.
In the proof of concept (PoC), a statistical model is developed for the automatic detection of the error and thus the technical and economic feasibility is checked using previously recorded data (offline analysis).
During the pilot phase, a functioning prototype is executed on a sample application at runtime (online analysis). In doing so, findings and experience values are collected, which are implemented in the final analytics solution during the last phase. This solution can be applied to an unlimited number of machines of the same type.