Automated Machine Learning for Incident detection in global IoT communication

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.

• 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.

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Anders Bresell – Head of Technology Development & Data Science | Telenor Connexion

Anders has designed and architected numerous data-driven insights solutions and has extensive experience in leading Data Science and Data Engineering teams.