Operations | Monitoring | ITSM | DevOps | Cloud

The path to intelligent network operations isn’t a straight line. In this session from AI for Network Leaders – Powered by Selector, Eric Chou shares hard-earned lessons from over 100 conversations with network engineers and operators navigating automation, complexity, and the shift toward AI-driven operations. He covers: This session is a practical field guide for teams looking to move from reactive firefighting to building an AI-ready network foundation.

AI can’t fix bad data. In this session from AI for Network Leaders – Powered by Selector, Michael Wynston breaks down a critical truth: the success of AIOps depends on the quality, consistency, and trustworthiness of your network data. Using real-world lessons from Fiserv’s large-scale network transformation, he explores how teams can build a strong data foundation that enables AI to deliver meaningful, low-noise outcomes.

AI agents are becoming a core part of modern network operations — but what does it actually take to build and deploy them effectively? In this session from AI for Network Leaders – Powered by Selector, Joby Rudolph and James Schnebly break down how AI agents are designed, implemented, and applied in real-world network environments. They cover: This session provides a practical look at how AI agents are moving from concept to production — and what it takes to make them work at scale.

In this special live episode of the Network Automation Nerds Podcast, host Eric Chou is joined by Scott Robohn, Surya Nimmagadda, and Joby Rudolph for a candid conversation on the future of network operations.

AI agents are quickly moving from experimentation to real-world deployment in network operations — but how do you adopt them without introducing unnecessary risk? In this session from AI for Network Leaders – Powered by Selector, Du’An Lightfoot shares a practical framework for building and deploying AI agents in production network environments. He covers: This session cuts through the hype and provides a clear, actionable model for teams looking to move from AI as a tool to AI as a teammate.

AI Leaders in Networking Roundtable | Greg Freeman, Du’An Lightfoot, Jeremy Shulman, William Collins, Scott Robohn & John Capobianco (Moderator)

AI Agents & Model Context Protocol John Capobianco, Head of Developer Relations at Selector, dives deep into AI Agents and the Model Context Protocol (MCP). In this session, John demonstrates Selector MCP in action — running as a client-server, connecting multimodal inputs, and even talking to Selector using microphone + TTS audio via Gemini CLI. He also showcases Sebastian Maniak’s Claude Desktop integration, where Selector MCP powers a chatGPT-like UI for network engineers. A practical look at how MCP is transforming AI into a true digital co-worker.

Building Your First GenAI RAG Application John Capobianco, Head of Developer Relations at Selector, walks through a 6-step process for building your first GenAI RAG application. From foundational building blocks to the path toward full AI agents, RAG remains a powerful tool with huge ROI. Even in a world of autonomous agents and MCPs, RAG is still one of the best ways for network engineers and IT leaders to query dozens of sources and unlock real value.

Strategic Imperatives for Infrastructure Leaders in an AI-Enabled World William Collins, Director of Technical Evangelism at Itential, explores the strategic imperatives facing infrastructure leaders in today’s AI-enabled world. He unpacks the Gartner Hype Cycle, the true monetary costs of network downtime, and shows how Itential + Selector can close the loop on AIOps with autonomous agents and MCPs.