Co-speaker: Hans Klingstedt
Predictive maintenance of critical infrastructures can prevent failures, plan maintenance processes in line with demand and ultimately save costs. Artificial intelligence offers great potential here, especially when algorithms evaluate or preprocess the data close to the sensor. But what concrete challenges arise from this and what can a system solution look like that ranges from the selection of the appropriate sensor to data forwarding to the cloud up to the presentation in dashboards? The edge AI solution developed in the Smart Systems Hub together with Coderitter, Infineon, Sensry and T-Systems MMS for challenge owner GLOBALFOUNDRIES shows all this.