The Industrial Analytics offering from Weidmüller stands for application-oriented AI applications to help you detect and classify anomalies, thereby effectively reducing downtimes. Through predictive maintenance, you can plan service intervals in a targeted manner as and when required. What’s more, you can make reliable predictions with regard to the quality of your products (predictive quality), based on seamless recordings of sensor, condition and process data.
You decide whether you want to work with our experienced data scientists and jointly design solutions or whether you want to use the Automated Machine Learning Tool to independently exploit the advantages of artificial intelligence.
100% security for your data. With our cross-platform Industrial Analytics solutions, you can decide for yourself how you want to use your data. Our services work on all standard cloud solutions, such as Microsoft Azure, Amazon Web Services and IBM Cloud. They can also be used "on premises" on internal servers or directly on the machine.
Thanks to our many years of experience in the field of machine construction, we know your applications inside out and we know that the decisions you make today will continue to affect you for many years to come. That's why we have assigned ourselves the task of developing solutions that we can continually improve upon and develop together with our customers.
We will help you to design an optimal data infrastructure and to select the perfect sensors and components. Our analytics modules are tailored to your use cases in order to adapt the computing capacity and data transmission in line with your existing IT environments.
Thanks to the technical and methodical competence, the good cooperation and the commitment in the proof of concept, we were able to quickly and easily identify the potential of the existing data. Based on the first evaluations, we were already able to implement improvements in our process.
Learn more about our Automated Machine Learning software that allows you to use AI- and ML based models independently, without the specific know-how of a data scientist.