HN837: Agentic AI to Reduce MTTR @PacketPushersNetwork
HN837: Agentic AI to Reduce MTTR  @PacketPushersNetwork
Uploaded August 2026 | Updated September 2026, 2 weeks ago
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 AI, Eduard believes that engineers will be promoted from "firefighters" to system architects.

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Links:
Eduard Dulharu on LinkedIn - linkedin.com/in/eduard-dulharu-5b33bb20
AutoCon 5 - https://networkautomation.forum/autocon5

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HN837: Agentic AI to Reduce MTTR

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