Real-Time Data & AI-Driven Telecom Networks | Wavelo x Appledore Research at FutureNet World 2026

Описание: At FutureNet World 2026, Bob Dietrich, Director of Solutions Engineering at Wavelo, sat down with Francis Haysom, Principal Analyst at Appledore Research, to discuss one of the biggest challenges facing AI in telecom today:

👉 How do you give AI the real-time, contextual data it needs to make trusted decisions?

The conversation explores why traditional data lakes and siloed OSS/BSS systems are not enough for the future of autonomous network operations — and why telecom operators need real-time ontology-driven architectures built on event-driven data streams.

In this interview, they discuss:

Why stale, batch-updated data limits AI effectiveness
The importance of real-time contextual data for autonomous decision-making
How ontology-driven architectures create trusted, AI-ready telecom environments
Why digital twins depend on semantic, contextual network models
The convergence of network operations and security operations
How event-driven architectures enable AI without requiring risky “big bang” transformations
Why agentic AI requires traceability, conflict resolution, and human trust

A key theme throughout the discussion is that AI success in telecom isn’t just about access to data — it’s about understanding the context, relationships, and meaning behind that data in real time.

If you're exploring the future of AI-driven OSS/BSS, autonomous networks, digital twins, or real-time telecom architectures, this conversation is packed with practical insights.

Learn more at wavelo.com

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