How AI Data Can Use Network Telemetry Without Sacrificing Reliability & Control w/ John Capobianco

Network infrastructure generates enormous volumes of data, but much of it remains difficult to access, interpret, and use. In this episode of Data Unchained, John Capobianco, Head of AI and Developer Relations at Itential, joins Molly Presley to discuss how AI agents can turn network telemetry into practical insights, predict equipment failures, support troubleshooting, and help organizations build reliable sources of truth.

John explains why read-only agents offer a lower-risk starting point for agentic operations and how natural language could become the primary interface between people, controllers, and infrastructure. The conversation also covers GPU-cluster networking, data retention, open-weight models, RAG, Model Context Protocol, data sovereignty, deterministic workflows, and the governance required before agents are trusted to make changes.

Join the VibeOps community: https://vibeopsforum.com/join/

Connect with John: https://www.linkedin.com/in/john-capobianco-644a1515/

Watch John’s videos: https://www.youtube.com/@johncapobianco2527

Learn more about Itential: https://www.itential.com/

Learn more about Hammerspace: https://hammerspace.com/

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