Discover how Model Context Protocol helps AI agents connect across tools, automate workflows, and reshape network operations through real-world examples.

Build a practical understanding of RAG with this session on connecting LLMs to operational data for more accurate, trustworthy AI in network operations.

Prepare for AI-enabled infrastructure leadership with this session on MCP, governed orchestration, and the path from trust to agentic NetOps.

Examine the AI behind networking in this session on data-centric AI, self-supervised learning, and trusted workflows for network operations.

Build AI-ready NetOps teams with this session on systems thinking, workflow-first automation, and leading change in the AI era.

Trace Lumen’s transformation to AIOps and advanced network operations in this session on orchestration, curated data, and governed AI at scale.

Upgrade the network engineer’s toolbelt with this session on agentic AI, practical guardrails, and smarter automation for faster, safer operations.

Assess the present state of network operations in this session on tool sprawl, fragmented data, observability, and AI that augments engineers.

Hear how Selector’s CTO maps the path from conversational operations to AI-powered networks with LLMs, MCP, agent workflows, and policy.

Explore how Jeremy Schulman uses Selector AI to turn raw network data into actionable intelligence with advanced observability, chat ops, and AI-driven insight.