Diese Veranstaltung findet in englischer Sprache statt.
At Siemens Meßgerätewerk Berlin, we produce a product family called SIPROTECT that are used for protection, control, monitoring, and measuring applications in electrical energy systems.
In order to maximize our production yield, reduce faulty products, and digitalize/automate our processes, and in general make better decisions throughout the whole production process, we build data products using machine learning or statistical methods on top of our massive data streams that are being collected at the edge in real-time within our complex data lake.
Here, I would like to show case a couple of use cases where such technologies are used in electronic manufacturing at Siemens and how they transform traditional manufacturing lines.
Dies ist eine Veranstaltung im Rahmen unseres anstehenden Hackathons:
Fragen beantwortet:
Jörg Arweiler
Gründungsberater
j.arweiler@univw.uni-saarland.de
T.: 0681 / 302 – 6598
