Mobile Core AIOps
Reliable Networks. Remarkable Experiences.
Transform efficiency into customer satisfaction with RADCOM Core AIOps
What is AIOps in the Mobile Core?
AIOps in the mobile core network utilizes artificial intelligence and machine learning to automate, monitor, and optimize operations. AIOps plays a vital role in the core, transforming vast and complex data flows into intelligent automation. It facilitates proactive management of the core infrastructure, helping to ensure reliable services through more efficient monitoring and incident response.
What is RADCOM Mobile Core AIOps?
RADCOM Mobile Core AIOps combines deep telecom domain expertise with intelligent assurance and integrated AI-driven operations to automate and proactively ensure mobile core network performance. Covering a wide range of customizable use cases, the solution enables intelligent, real-time incident detection, analysis, remediation, and resolution, to ensure quality customer experiences.
See how RADCOM Mobile Core AIops solution
works
Find out how you can optimize your 5G Core Network with RADCOM Mobile solutions now
Benefits
Improves operational efficiencies
Do more with
less
Predicts anomaly detection
Prevents
degradations
Real-time
intelligent alerts
Granular
subscriber data
Drives network automation
Automates NOC operations
Looking for an end-to-end solution? View our unified RAN-to-Core offering
Features
AI Alerts and Virtual Network Operations Center (vNOC)
RADCOM Mobile Core AIOps offers AI Alerts and virtual network operations center (vNOC) that enables cost-effective and automated anomaly detection and workload management. Using AI and ML, the solution provides data visualizations that assist in root cause analysis and resolve faults quickly and efficiently. A machine learning baseline is generated and analyzed based on historical data. New incoming information data points are then constantly compared, triggering an alert when an anomaly is detected. Alerts are sent to users via various delivery and real-time streaming channels such as Slack and other BSS/OSS solutions. This helps ease network engineers’ workloads, reducing time to detect and resolve faults.
Filtering Rules
RADCOM Mobile Core AIOps provides operators with control over the amount of AI-related data delivered, preventing information overload. Operators use filters or rules that can be adjusted to focus on top-priority tasks, or break down according to the type of tasks and levels of severity. This significantly reduces mean-time-to resolution, freeing network teams to spend more time optimizing services. The solution also supports bringing your own analytics container (BYOAC), which can be adapted and tested for telecom-specific use cases.
