100+ episodes on the Packet Pushers Network. We dive deep into the protocols, Python workflows, and pragmatic AI integrations that are actually shaping production networks today.
Adrian Iliesiu joins to talk about making network automation accessible, using AI to learn faster, and where to draw the line on what AI should and shouldn't do.
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Stream the latest conversations below. From legacy brownfield automation to the cutting edge of AI-assisted NetOps. No vendor hype, just engineering reality.
Ashwin Joshi from Keysight on the difference between networking for AI and AI for networking, and how engineers can use AI tools without getting buried under the computational load AI workloads put on the network.
Matt Campbell on automating networks where the margin for error is small. Real lessons from brownfield environments and high-stakes operations, not greenfield demos.
Selector joins to talk about what it takes to make AI useful for network operations. The data layer matters more than the model, and customer-specific priorities shape how the system actually behaves in production.
Danny Wade returns to recap AutoCon 4. What stood out, what didn't, and where AI showed up across the talks.
For the full archive of 100+ episodes, visit packetpushers.net.
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