Episode

HN837: Agentic AI to Reduce MTTR

Podcast
Heavy Networking
Published
Aug 7, 2026
Duration seconds
3904
Processing state
not_requested
Canonical source
https://packetpushers.net/podcasts/heavy-networking/hn837-agentic-ai-to-reduce-mttr/
Audio
https://feeds.packetpushers.net/link/12486/17405231/HN837.mp3
JSON
/v1/public/podcasts/heavy-networking/episodes/hn837-agentic-ai-to-reduce-mttr
Markdown
/podcast/heavy-networking/hn837-agentic-ai-to-reduce-mttr.md

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Summary

Ethan Banks sits down with Eduard Dulharu live at AutoCon 5 to explore how agentic AI can be used to reduce Mean Time to Recovery (MTTR) for complex network environments. Eduard breaks down how these AI agents leverage deterministic workflows and custom fine-tuned models to analyze telemetry and propose solutions. Through the use of agentic ... Read more »