For AI agents handling mission-critical I&O tasks, trust and governance is paramount. That trust is earned by a learning process, reliability, and repeatability. This session will share examples from 100+ production networks of agentic NetOps solving real network problems. See how a learning loop moves operations from reactive diagnosis to programmatic prevention, earning the path toward autonomy.
AI is reshaping enterprise security from both directions at once. Organizations are racing to deploy AI workloads, connect agents to sensitive data, and automate decisions at machine speed. Simultaneously, adversaries are using AI to discover vulnerabilities, craft attacks, and move laterally across networks faster than legacy defenses can respond. Yet some enterprises are scaling AI in production while others remain stuck in pilot. The difference isn’t budget or talent. It’s architecture. In this session, George Moser draws on his experience as a former Fortune 500…
We spent the last decade making infrastructure programmable. The next challenge is making it understandable enough to operate itself. More than forty years after the famous quote “the network is the computer,” AI is making that idea impossible to ignore. Before AI agents can safely act across networks, clouds, applications and security domains, they need more than intelligence—they need an accurate, real-time model of how the environment is connected, behaving and changing. This keynote explores why network-centric observability – and the knowledge graph it creates…
As enterprises move from AI pilots to production-scale deployments, the network must evolve to support unprecedented compute and data demands across clouds. In this keynote, Google will share its perspective on architecting networking infrastructure capable of powering AI and agentic workloads at scale ensuring experiences that are fast, reliable, secure and open. From data center fabrics, to hybrid and cross-cloud connectivity, agentic networking, and what enterprise network architects should be planning for now.
FedEx operates one of the world’s most complex, real-time logistics and digital networks—moving millions of packages daily while transmitting petabytes of data across its systems. To operate at this scale, FedEx has embedded AI across its business, from its Surround® platform, which uses machine learning to monitor shipments in real time, to predictive analytics that anticipate delays, optimize routes, and proactively manage disruptions. In this keynote, Gene Sun and Bala Vaidyanathan will share how FedEx is using AI to transform both physical and digital operations….
