From Data to Decisions: How AI Turns Network Noise into Clarity
From Telemetry Now by Phil Gervasi
October 9, 2025 · 53 min · Season 2 · Episode 59
About this episode
The episode discusses how AI can improve network operations by addressing key areas like anomaly detection and root cause analysis.
Kentik CPO Mav Turner joins host Philip Gervasi to cut through the AI hype in NetOps. They discuss where ML and LLMs actually help—anomaly detection, root cause analysis, and agent-driven runbooks—and where deterministic methods still win. Join us for real talk on data pipelines, telemetry quality, model evaluation, human-in-the-loop guardrails, and the build-vs-buy trade-offs that transform network noise into informed decisions.
People in this episode
Host: Phil Gervasi
Guest: Mav Turner
Topics covered
- AI in NetOps
- anomaly detection
- root cause analysis
- data pipelines
- telemetry quality
- model evaluation
- human-in-the-loop
Keywords
- AI
- NetOps
- machine learning
- anomaly detection
- root cause analysis
- data pipelines
- telemetry
- model evaluation
- human-in-the-loop
- network decisions
Mentioned in this episode
Organizations: Kentik
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