Join Our Sessions

Everyone is talking about AI in network operations—but most implementations aren’t solving the real problem.

Today’s “AI-powered” tools often summarize dashboards, generate reports, or provide chat-based interfaces, but still leave engineers to figure out what’s actually wrong. The result? Same information, but not better answers.

In this session, we’ll examine where AI is being overhyped and where it can truly make a difference. You’ll learn how AI can be applied to correlate telemetry, detect meaningful patterns, and identify root cause—not just describe symptoms.

We’ll also explore why the quality and depth of underlying data is critical—because without the right data, even the most advanced AI cannot produce meaningful answers.

If you’re evaluating AI in your network tools or trying to understand what actually delivers value, this session will provide a practical framework for separating signal from noise.

Content Corner Session #1

Why Network Monitoring Still Can't Troubleshoot

• Day: Monday, June 1, 2026

• Time: 2:30 - 2:50 PM

• Location: Solution Village Theater 1

Why do network problems still take hours to troubleshoot—even with modern monitoring tools?

The answer isn’t more dashboards or more alerts. It’s that traditional monitoring was never designed to explain what’s actually wrong.

In this session, we’ll break down why monitoring tools consistently fall short when it comes to troubleshooting, and why engineers are still forced to
manually piece together root cause from incomplete data. You’ll learn how network devices already expose the signals needed to identify failures, and
why most tools fail to use them effectively.

We’ll also explore a new approach to network operations—one that focuses on understanding and explaining problems, not just detecting them—and
how AI can be used to move from symptoms to root cause.

Content Corner Session #2

AI in Network Operations – Hype vs What Actually Works

• Day: Tuesday, June 2, 2026

• Time: 2:30 - 2:50 PM

• Location: Solution Village Theater 1

Everyone is talking about AI in network operations—but most implementations aren’t solving the real problem.

Today’s “AI-powered” tools often summarize dashboards, generate reports, or provide chat-based interfaces, but still leave engineers to figure out what’s actually wrong. The result? Same information, but not better answers.

In this session, we’ll examine where AI is being overhyped and where it can truly make a difference. You’ll learn how AI can be applied to correlate telemetry, detect meaningful patterns, and identify root cause—not just describe symptoms.

We’ll also explore why the quality and depth of underlying data is critical—because without the right data, even the most advanced AI cannot produce meaningful answers.

If you’re evaluating AI in your network tools or trying to understand what actually delivers value, this session will provide a practical framework for separating signal from noise.