From Data to Decisions: How AI Turns Network Noise into Clarity

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.