Optimizing Long-term Costs by Introducing Pervasive AI
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Topological correlations focus on utilizing information about network configuration received either directly from the network (via OSS Reconciliation) or from the resource inventory (either Comarch Resource Inventory or a third-party solution) for the efficient correlation of alarms. Network topology, including physical, logical and virtualized elements, is loaded into a graph database where it is used to process events arising from the network. The expected average alarm reduction rate ranges from 30% to 70% (depending on the technology, vendor, network configuration and OSS landscape).
Topological correlations, alongside machine learning use cases are extensions of the advanced Comarch Correlation Engine, which itself is part of Comarch Fault Management. The goals are improved correlation rates, decreased mean time to repair, and supporting the automation of assurance processes.
See for yourself how AI can bring your telco service management to the next level!
Optimizing Long-term Costs by Introducing Pervasive AI
Watch our video!
Use your network topology for efficient root-cause analysisIntegration of network monitoring with resource inventory boosts your assurance processes. | Enhance your existing fault management systemComarch Topological Correlations can cooperate with third-party fault management products. |
Benefit from pre-defined technology packsComarch Technology Packs support different technologies and include correlation rules following industry standards and vendor specifications. | Make rule-based and AI-based systems work togetherEnhance topological correlations with machine learning algorithms and get full-blown intelligent assurance and analytics. |
"The introduction of Comarch OSS Suite was a giant step forward in optimizing operations thanks to integrating the management of our transmission technologies into one homogeneous platform."
Günter Kaufmann, Manager Operations Support Systems
Telefónica Deutschland
Artificial Intelligence and Machine Learning for 5G Network Monitoring
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