Every network leader in the room is navigating the same pressure: AI adoption is accelerating across the enterprise, but the network was never built for it. Distributed AI workloads, multi-cloud sprawl, unpredictable traffic patterns, and the relentless demand for always-on connectivity are exposing the limits of legacy WAN architectures — architectures held together by manual processes, fragmented visibility, and rigid contracts. The result is operational drag, rising costs, and a network that slows the business down rather than propelling it forward. This session confronts that…
Every enterprise deploying AI agents for IT operations hits the same wall: agents without grounded operational context hallucinate, misroute, and can’t learn from outcomes. This session presents the architectural pattern behind an operational knowledge graph that ingests structured ITSM data alongside unstructured tribal knowledge — chat transcripts, bridge calls, runbook fragments — and turns it into a compounding data layer that AI agents consume in real time. – Why retrieval-grounded agents outperform fine-tuned models on enterprise operational data – How a tiered sensing funnel (rules,…
Most breaches start at the edge, where legacy networks and fragmented security create risk. AI-driven threats are making it worse. This session shows a new approach to LAN networking and security. It combines zero trust with AI-powered automation to deliver secure network as a service and help IT teams do more with less.
AI is transforming enterprise operations. But the encryption protecting the data those systems depend on was built for a world that no longer exists. Nation-states are collecting encrypted data today with the intent to decrypt it once quantum computers arrive, and cryptographically-relevant quantum computers are expected as early as 2029. This session examines the quantum threat across three time horizons: * The insider threat risk that exists inside your network right now, targeting static private keys with no quantum computer required * The Harvest Now,…
For most organizations, the low-hanging network issues are solved; thresholds, polling, and playbooks handle them. The remainder? Issues that cross domain boundaries, evade static rules, and cannibalize NOC time while defying existing solutions. At IBM, we believe the right AI architecture can transform this space: time-series foundation models that observe without thresholds, paired with agentic reasoning that forms root cause hypotheses across your full stack. This session covers why the architecture matters and how context engineering, composable skills, and the open Model Context Protocol (MCP)…
Enterprises are investing heavily in AI, yet many initiatives stall when moving from pilot to production—not because of models or data, but the network. The connectivity layer remains fragmented, manual, and static, lacking a unified system of truth across locations, providers, and services. This session introduces a programmable connectivity layer for AI-ready infrastructure, combining location intelligence, automated discovery, quote-to-order automation, and continuous reconciliation. By transforming connectivity into a dynamic, software-driven foundation, enterprises can accelerate deployment, improve cost and performance decisions, and enable AI systems to…
The phrase “network autonomy” is everywhere. But what does it actually look like in practice? In this session, we will demonstrate an interlocking AI architecture working across a real-world network to identify, triage and resolve traditionally hidden issues in minutes, not hours. Watch foundation models detect the anomaly, the reasoning engine correlate it across topology and config state via MCP, and agentic processes propose and execute governed remediation through Ansible. As important, we will introduce a working model for human + AI partnership where every…
As enterprises pivot toward autonomous orchestration, a context gap has emerged. When AI agents rely on Source of Truth systems that are only 60-80% accurate, they can amplify operational errors at machine speed, leading to system failures and operational drift. This session provides insights into how companies are leveraging Agentic AI frameworks to ensure next-gen automation and AI projects are fueled by quality data needed for success. We will focus on: Data Readiness by implementing a reconciliation agent to resolve data conflicts Operational Efficiency by…
We are currently accepting applications for this Roundtable. If you are a CIO, CTO, Heads/VPs of network Infrastructure, Sr Manager, or Director of Network Infrastructure, apply to join here: https://share.hsforms.com/1cmAOVo8hTW-CKdWr6pehLA3kiev As enterprises operationalize AI—from generative copilots to real-time analytics and autonomous workflows—the underlying network is emerging as a critical enabler of AI performance, scale, and security. AI workloads are distributed across hybrid and multi-cloud environments, rely on massive data movement, and demand ultra-low latency connectivity between data, compute, and users. Traditional network architectures, designed primarily…
ONUG Triple T presentations provide you with a unique opportunity to view Tools, Technologies and Techniques that map to solutions that enable trusted Infrastructure to drive business value in today’s Enterprise. From real-world NetDevOps to automating and securing multi-cloud deployments, you will find answers to your unique requirements and challenges. Suppliers have been challenged by ONUG to present solutions that help the enterprise overcome the numerous operational challenges that arise in today’s highly complex IT environments. These are interactive sessions, bring your questions and speak…
