Empowering AI with Knowledge for an Autonomous Future

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Vitria’s Blog

FutureNet World 2026

With FutureNet World 2026 just weeks away in London, one theme is dominating conversations across the telecom industry: Autonomous Resolution. The shift is clear—networks are moving beyond passive monitoring and alerting toward systems that can understand, decide, and act on their own.

In a recent FutureNet World preview conversation, An Industry Analyst sat down with Dale Skeen, CTO and Co-founder of Vitria, to unpack what is driving this transition—and why analysts are calling Vitria’s approach a multi-year leap ahead of the market.

2025: From “Ahead of the Curve” to Market Proof

For Vitria, 2025 was not just another growth year, it was a validation year. With Gartner recognition and participation in the Vodafone Scale-Up program, the company crossed a meaningful threshold.

“We have moved from being ‘ahead of the curve’ to being the engine behind some of the world’s most advanced telco operations,” Skeen explained.

As the industry converges on AI-driven operations, the difference between theory and production reality has never mattered more. And that’s exactly where Vitria is leaning in at FutureNet World.

What Creates a “Multi-Year Lead” in AIOps?

In a market crowded with AI promises–what keeps Vitria ahead?

According to Skeen, the answer is deceptively simple: knowledge.

Most AIOps platforms remain reactive—detecting anomalies, triggering alerts, and relying on human operators to resolve the issue. Vitria’s VIA AIOps platform takes a fundamentally different approach through what it calls the Knowledge Plane.

By combining Generative AI with Knowledge Graphs, VIA does not just recognize patterns—it understands context.

  • Network topology
  • Historical behavior
  • Operational dependencies
  • Remediation paths

This context is what enables autonomous knowledge acquisition through multi-agent architectures. The system does not just flag a fault—it identifies the root cause and executes the fix.

The results are tangible: some Tier-1 providers have eliminated up to 250,000 truck rolls per year.

“We aren’t just observing,” Skeen said. “We are resolving.”

Proving the ROI: Safe, Explainable, and Measurable

Autonomy at national-network scale raises an obvious concern: trust.

For Vitria, explainability is non-negotiable.

VIA Knowledge Plane powers Explainable AI, complex network data into transparent, human-verifiable insights. There is no black box—only traceable logic and confidence-backed actions. Beyond mere transparency, VIA Agentic AI empowers a new generation of autonomous AI agents to independently detect, diagnose, and resolve complex network incidents in real time.

That trust translates into measurable outcomes:

  • 65% reduction in incidents within 90 days for a North American provider
  • 99.8% uptime across national networks
  • 11 million annual failures avoided in streaming environments
  • $2.3 million in staffing cost savings

When GenAI is paired with deep domain knowledge, automation stops being a cost-cutting exercise and becomes a customer experience accelerator.

What to Expect at the Vitria Booth at FutureNet World 2026

For attendees heading to London, Vitria is not just talking about autonomous resolution, they are showing it live.

At Booth 27, the team will be demonstrating Knowledge Augmented Analysis, walking CSPs through how VIA identifies root causes with what Skeen describes as “surgical precision.”

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