Automated observability and resolution for IoT connectivity service

Learn how automated processes work across CSP and enterprise ecosystems for incident management, including ML-anomaly detection, impact analysis, ticket management, customer notification, and GenAI-driven self-service capabilities.

Walk through the 5 steps of the process and see how:

• Continuous 360° observability detects potential problems, such as idle smart meters in the morning.
• The system identifies connectivity issues when smart meters fail to transmit data.
• Automated workflows analyze network KPIs and metrics to identify the root cause.
• A detailed trouble ticket is automatically created with relevant findings.
• Customers are kept informed via a self-service portal, ensuring transparency and swift action.

Discover how this approach minimizes the risk of SLA breaches for CSPs, while offering enterprise customers higher transparency and reducing the need for costly field visits.

Submit your details to watch the video.