Salzburg Research opened up the potential of telecom diagnostics data for fault diagnostics in the low-voltage grid for an electricity distribution grid operator: with the help of machine learning, the cause of approx. 70 percent of low-voltage grid faults can be automatically detected without additional hardware.
Troubleshooting a time-critical one-to-many push voice service. Salzburg Research simulated the service with virtual measuring points and measured the connection. In this way, the error could be identified and rectified quickly.