Automated Machine Learning for Incident detection in global IoT communication – Anders Bresell, Telenor Connexion

Premium content

Login or register to unlock the content

Roaming based global connectivity is key for IoT enterprise fleets. Using Real-time data from half a billion daily events, we have deployed an automated and self-tuning machine learning solution to find customer and network issues. These anomalies are fed to a Human-in-the-loop alarm management system with powerful Analytics to qualify which cases need actions.

Key Takeaways

  • ML as a service will cut your time-to-production and lower Maintenance
  • The importance of integrating the ML output to your business processes
  • Unless you make it easy to act on ML findings, it doesn’t matter how good/bad your models are.

Add comment

Highlight option

Turn on the "highlight" option for any widget, to get an alternative styling like this. You can change the colors for highlighted widgets in the theme options. See more examples below.


Instagram has returned empty data. Please authorize your Instagram account in the plugin settings .

Ivana Kotorchevikj

Categories count color


Small ads


  • Afro-deko-mono
  • Maria d'Odessa, touching
  • Maria d'Odessa au bâton de rouge-baiser
  • Maria d'Odessa & the red lipstick
  • Maria d'Odessa, soulful.
  • Peanuts
  • Celebrating the hundredth anniversary of Charles M. Schulz
  • À propos serendipity ...
  • Les libraires

Social Widget

Collaboratively harness market-driven processes whereas resource-leveling internal or "organic" sources.