Your IT tools are fragmented. Your data is inconsistent. Your team spends hours on manual tasks. In this session, we will show you how to leverage AI-powered agent to connect every tool, resolve every conflict, and build truth across your IT ecosystem. It gives you one intelligent view with contextual enrichment to take action and decide what’s real. You will walk away with a proven approach for enhancing your team’s existing investments, accelerating issue resolution, and building a more robust IT infrastructure.
In an era where enterprises are increasingly distributing workloads, data, and AI services across multiple hyperscalers, what would a representative architecture look like that effectively addresses the multi-cloud and cross-cloud networking challenge—enabling secure, low-latency, policy-driven connectivity and consistent operations across cloud providers ? How can such an architecture integrate native cloud WAN constructs, neutral interconnect platforms and software-defined overlays to unify control, visibility, and segmentation? We will discuss and address some of these cross cloud interconnect issues during this session.
As enterprises scramble to deploy AI, they face a growing challenge. When preparing data for AI, up to 80% of project time is focused on ingesting, transforming, curating, and vectorizing data before it can be used by agents or LLMs. Current tools for this process are often fragmented, manual, and slow, and NOT built for AI. The key to success is to focus on AI-driven business outcomes versus data preparation complexities.
As enterprise networks face the demands of AI/ML workloads, traditional, rigid architectures are becoming obsolete. This session demonstrates how SONiC, paired with open networking hardware, provides the essential foundation for a modern, AI-ready campus network. We will discuss SONiC’s modular, Linux-based architecture and its ability to integrate core campus functions like Power over Ethernet (PoE) and Link Layer Discovery Protocol (LLDP), laying the groundwork for intelligent automation. This Triple-T session is designed for network architects and IT leaders who want to move beyond proprietary solutions…
Monitoring tool rationalization is often slow to implement due to entrenched opinions and limited visibility into true observability effectiveness beyond tool overlap. This session introduces a data-driven framework to evaluate monitoring tools by their impact on service, application and infrastructure reliability. Attendees will walk away with practical KPIs and metrics to define, measure, and benchmark monitoring effectiveness across their organization.
As the next administration considers executive orders to accelerate the U.S. quantum strategy, from fast-tracking the adoption of post-quantum cryptography across federal agencies to crafting a national quantum action plan, quantum and AI policy are converging. This panel will explore how national AI and quantum strategies are becoming deeply intertwined, with implications for commercial industry, defense, intelligence, infrastructure, and economic competitiveness. We’ll examine the core tenets of this executive action, coordination across agencies, risk management, international signaling, implementation, and how to align quantum initiatives with…
Enterprises face connectivity challenges as AI, robotics, and IoT move to the edge. Highway 9 delivers cellular resiliency with Private 5G and Mobile Cloud, enabling secure, scalable networks for manufacturing, warehousing, and automated operations. With high-performance coverage, real-time tracking, and low-latency edge AI, enterprises can simplify operations and unlock smarter, connected outcomes through cloud-native orchestration. This TTT session will share a case study with practical use cases of how a large industrial enterprise used the Highway 9 Mobile Cloud and its private 5G + AI…
The demands of the AI-era are pushing network infrastructure to its limits. Join us as we dive into the top five networking challenges for AI and reveal how Google’s global network is uniquely engineered to solve them. We’ll unveil the next-generation architecture and services engineered to deliver the extreme performance, global reach and efficiency required for training, inference, and agents in the AI era.
Agentic AI shifts networks from static pipelines to autonomous, intent-driven workflows—demanding open, lossless fabrics that can adapt in real time. This panel explores how SONiC serves as the foundation for an AI Fabric, with Edgecore enabling open, scalable switching and Dorado Software powering automation and closed-loop operations. We’ll translate agent intent into network policy (e.g., QoS/ECN for RDMA, congestion visibility, rapid re-pathing), outline reference leaf–spine patterns for GPU clusters, and show how open networking plus standards-based orchestration deliver performance, portability, and reduced lock-in for enterprise…
How enterprises can leverage the scale and agility of a Network as a Service platform like Megaport to enable connectivity for distributed AI workloads across data centers, public cloud providers, and GPUaaS clusters. In this Triple T presentation, we’ll show you how to build out on-demand network connectivity between a GPUaaS provider and a Cloud Service Provider.
