Customers

O&M of LTE systems

Multi-level and multi-modal system state monitoring for anomaly detection

Forensics from Historical event description

Malfunction diagnostics in real time

Advance alerts

Performance prediction and refinement through reinforcement learning

Connecting O&M data for events-actions-consequences pathways to explain root causes

Cross layer monitoring of VM

Container infrastructure for diagnostics

Issue identification and mitigation

Time-to-resolve optimization with causal explanations of faults and malfunctions

Issue classification through text based analysis of consumer complaints

Part and technician identification for optimal remediation and service

Explainability for process optimization, accountability and planning