“Data alone does not solve operational problems. Understanding does.”

While telecom operators are moving from AI experimentation to operationalization, their efforts are constrained by the lack of a consistent, cross-domain understanding of their environments. In this whitepaper, we introduce the Semantic Knowledge Plane (SKP) as a unifying knowledge layer that complements observability, inventory, and data platforms by encoding domain semantics, causal relationships, business context, and policies into a real-time, ontologically grounded knowledge graph.

By grounding agentic AI in explicit relationships, the SKP enables deterministic reasoning, explainability, and coordinated multi-agent actions. The paper explores the differences between a semantic knowledge plane and other data-centric systems such as observability and inventory – as well as reasons why the semantic knowledge plane is already an essential enabler for overcoming today’s operations challenges.

We highlight how vendor Vitria is realizing semantic knowledge planes with its approach and self-evolving knowledge plane technology, its application to real-world scenarios, and the results that its customers are seeing along the path to high levels of autonomous network operations.

The topics of ontology and knowledge mining and management are becoming better understood as integral to the success of agentic AI and autonomous operations ambitions. This whitepaper offers insights and clear recommendations to operators looking to overcome the challenges of scaling AI to large-scale production.

This whitepaper is free to read, courtesy of sponsorship by Vitria.