VIAVI at Tech Field Day 2025: Part 2 - Assessing the Current State of AI-driven Packet Analysis with VIAVI

As network environments grow in complexity, speeds, and feeds, packet-based troubleshooting gets increasingly complex. In this session, we explore how artificial intelligence has the potential to change the game—automating anomaly detection, accelerating root cause analysis, and uncovering patterns that might otherwise go unnoticed. Ward Cobleigh and Chris Greer build on their earlier discussion by addressing the challenges of managing large PCAP files and the importance of capturing only what matters. They share best practices for narrowing down analysis using targeted capture techniques and VIAVI’s machine learning-driven scoring system to identify performance issues across the client, network, app, and server layers. With capabilities like on-demand application dependency mapping and end-user experience (EUE) scoring, VIAVI enables faster, more accurate troubleshooting—especially in complex or hybrid cloud environments. This session delivers actionable insights for reducing data overload and gaining clarity in high-speed networks. Watch now to learn how to cut through the noise and focus on the packet data that actually matters.