Can Agentic AI handle the complexity of modern telecom? In this episode, Dale Skeen, CTO of Vitria Technology, joins Robert Curran to discuss why simply having "more data" isn't enough for autonomous operations and how the "Semantic Knowledge Plane" provides the reasoning and context AI needs to succeed.

Inside this episode:

• The Data vs. Knowledge Gap: Why standard databases fail to capture the complex dependencies of 5G networks and how semantics define the true nature of network relationships.
• Building Trust in AI: How a knowledge plane provides guardrails and explainability, forcing LLMs to use "chain of thought" reasoning to eliminate hallucinations.
• Incremental Transformation: Skip the "big bang" failures. Learn how to build a "minimum viable knowledge graph" in 90-100 day sprints with measurable ROI.
• Real-World Results: Discover how operators are achieving 95% triage accuracy before customer impact and 20-30% year-over-year productivity gains.
• The Self-Evolving Plane: A look at tools that harvest knowledge from telemetry, troubleshooting guides, and closed tickets to create a self-learning system.

Whether you are looking for a competitive cost advantage or faster service innovation, this discussion explains why persistent knowledge is a telecom operator's most tangible business asset.

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