AI-powered anomaly detection means that you can automatically track important network and service KPIs in real-time, so you can focus on monitoring those that matter to your business.
Anomalies represent deviations from expected network, traffic, service, and customer experience data in your network, indicating service-impacting issues. AI-powered algorithms will learn from your data and calculate the needed thresholds to automatically identify anomalies for different time series KPIs. Anomalies are then grouped and tagged with priority indicators and show the number of customers impacted.
Preventative versus reactive maintenance: by spotting issues early and identifying the root cause, repairs can be made to the network before larger breakdowns and more expensive fixes. Targeted issue identification also means fewer resources are wasted during repairs.
Fraud prevention: Anomalous traffic and usage data can point to unauthorized network users
Increased operational efficiency: AI and machine learning capabilities mean that more advanced, adaptive data can be gathered about network usage and performance, which can be used to increase network efficiency.
Polystar’s software tools also reduce the number of human hours needed to analyze and monitor data, saving further labor costs so important human attention can be allocated to tasks that most need it.
Predict Network Behavior with Data-Driven Accuracy
AI/ML application of Kalix Analytics models analyze historical and real-time data to forecast demand and capacity needs, enabling proactive optimization, reduced risk, and efficient resource allocation across the network.
Use our ML-Driven Geolocation to Spot Coverage Issues
Our RAN monitoring solution visualizes radio performance data on Google Maps, offering a clear, geographic view. This enables users to analyze and resolve network coverage issues while pinpointing root causes.
Ensure High Service Quality for Homes and Smart Offices
Households and small offices are increasingly relying on fixed broadband connectivity for their internet access and business needs. Our FBB solution provides service-aware monitoring and analytics for any fixed-access technology.
Discover how emerging Artificial Intelligence (AI) and machine learning technologies can enhance operational efficiency in telecom operations. In this first article of a three-part series, Roman Šipula, Senior ML Engineer at Polystar, explores how AI-supported anomaly detection can help Network Operations Center (NOC) teams identify and address issues more effectively.
Discover how Polystar can elevate your incident isolation, tracking and performance delivered to your customers!
Discover how forecasting critical network KPIs in advance helps operators plan capacity, prevent congestion, and maintain consistent service quality.
Watch our on-demand session to explore Agentic RAG in telecom, featuring insights from our Head of AI Solutions and team. Access it here.
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