Provides automated, AI/ML-based analytics that can be integrated with RADCOM ACE or form the foundation for zero-touch automation with RADCOM NWDAF. RADCOM AIM automatically finds network anomalies and saves time in resolving degradations.
Automated AI/ML-based insights
Once RADCOM AIM is deployed on the network, it learns baseline behavior and automatically creates thresholds without operators needing to configure them.
Delivering telco use cases
RADCOM AIM uses the latest AI innovations and is deployed at many of our customers worldwide, providing telco-specific use cases based on our many years of experience in implementing assurance solutions.
Anomaly detection for hundreds of KPI/KQIs
Automated root cause analysis
Early warning detection of anomalies
Optimizing network performance
Planning network capacity
Predictive analytics
Flexible and dynamic solution
Operators can use AI models developed internally as part of RADCOM AIM and users can choose their preferred models for each use case. Users can also provide feedback that RADCOM AIM learns from improving the automated insights for everyone.
Unique benefits:
Delivers telco-specific use cases
Uses the latest AI innovations to deliver insights that save time and automates network operations
Combines unsupervised and supervised ML
Automatically creates thresholds, while accepting user input to improve AI models
Supports real-time analysis
Analyzes and streams resulting insights in real-time
Advantages for operators include up to:
30%
increase in engineering efficiency with AI/ML-based insights
35%
better resource allocation and planning with AI-based forecasting
40%
improvement in RAN coverage with AI-based RAN optimization