Our latest publication, "Implementing an LLM-based Network Topology Traversal and Event Correlation Agent," by Mihai Fagadar-Cosma, Waylay CTO, goes into the details of designing an intelligent event correlation agent for radio access networks (RAN) using the Waylay platform and Neo4J graph databases.
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Our latest publication, "Implementing an LLM-based Network Topology Traversal and Event Correlation Agent," by Mihai Fagadar-Cosma, Waylay CTO, goes into the details of designing an intelligent event correlation agent for radio access networks (RAN) using the Waylay platform and Neo4J graph databases.
DownloadThe ability to correlate events across the spatial and temporal domains is an essential aspect of modern autonomous networks. With the introduction of knowledge graphs coupled to the reasoning capabilities of LLMs, it is now possible to build smart, ontology-driven event correlation systems that leverage GenAI capabilities to support self-X networks and NOC teams, in record time.
The ability to correlate events across the spatial and temporal domains is an essential aspect of modern autonomous networks. With the introduction of knowledge graphs coupled to the reasoning capabilities of LLMs, it is now possible to build smart, ontology-driven event correlation systems that leverage GenAI capabilities to support self-X networks and NOC teams, in record time.
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