Making Enterprise Networks Ready for AI’s Demands
147As AI continues to transform how businesses operate, the importance of reliable, secure, and predictable network connectivity grows. Companies need more than just fast speeds; they need certainty that their data moves smoothly and securely across various platforms. This shift is pushing organizations to rethink their network strategies to meet the demands of AI workloads and digital transformation.
The New Role of Networks in the AI Era
AI workloads are different from traditional data tasks. They are distributed, ongoing, and extremely sensitive to delays. Activities like inference, monitoring, data retrieval, and troubleshooting happen nonstop, making network reliability critical. Julian Skeels, the chief digital officer at Expereo, explains that in AI, the network becomes a system dependency. If the network performance drops, AI applications suffer immediately, affecting the entire business process.
To support AI effectively, networks must offer more than speed. They need to be predictable, observable, governable, and resilient, even amid constant changes. This means moving from simple fast connections to intelligent, deterministic data movement that guarantees performance. Such networks should adapt seamlessly to shifting demands while maintaining high security and control.
Challenges Facing CIOs Today
Many CIOs face a common problem: they have connectivity everywhere but lack visibility into how their networks perform. Managing hybrid environments, multiple clouds, and diverse providers often leads to operational chaos. Skeels describes this situation as “connectivity everywhere but visibility nowhere.” It creates a heavy burden on IT teams, who struggle with fragmented tools and opaque processes.
What organizations truly need is clarity and control over their networks. They want to understand what’s happening across all their connections and be able to act quickly. Skeels notes that many companies are looking for simplified solutions that provide real insights without adding more complexity. This approach helps them ensure their network supports their business goals and AI initiatives effectively.
When Skeels joined Expereo last year, he brought extensive experience in digital transformation. He saw an industry slow to adopt full digital change, often stuck with manual, fragmented processes across numerous providers. His goal was to accelerate this transformation and make global connectivity faster, more transparent, and easier to manage.
Expereo’s Approach to Modern Connectivity
Expereo aims to change the game by making global connectivity as straightforward and immediate as cloud computing. They believe emerging technologies like agentic AI are finally opening the door for faster, more transparent networks. Their platform, expereoOne, embodies this vision by delivering “visibility at the speed of life.” It offers a single, comprehensive view of what’s deployed, how it performs, and its costs across the globe.
Beyond just visibility, Expereo emphasizes proactivity. The company integrates deeply with customers’ existing systems such as order management, ITSM, and ERP. This seamless integration allows businesses to manage their networks at scale without added complexity. Skeels explains that better visibility isn’t about more dashboards, but about connecting network behavior directly to business outcomes like security, resilience, user experience, and costs.
This approach helps organizations anticipate and resolve issues before they impact operations. It also enables smarter decision-making, ensuring their networks support AI workloads and digital growth without compromise. Skeels will share more about designing AI-ready networks at the upcoming Digital Transformation Expo Global, promising to challenge traditional thinking and inspire new ways to build resilient, observable networks.
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