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HN837: Agentic AI to Reduce MTTR | TrackPodcasts.com

technologyAug 7, 20261:05:04pending

HN837: Agentic AI to Reduce MTTR

Heavy Networking|

About this episode

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 »

Hosts & guests

PPacket PushersHost
EEthan BanksHost
EEduard DulharuGuest

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HN837: Agentic AI to Reduce MTTR

Heavy Networking

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1:05:04

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HN837: Agentic AI to Reduce MTTR

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