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Expereo Touts Enterprise Connectivity Solutions Amid AI Boom, Promising Real-Time Visibility
AI continues to transform technology and business, but for enterprise networks in the AI era, connectivity must be always-on and highly attentive to sovereignty and security.
Speed alone is no longer enough. As Julian Skeels, Chief Digital Officer at Expereo, points out, what matters most is 'certainty.' “AI workloads are distributed, continuous, and extremely sensitive to latency. Inference, monitoring, retrieval, and remediation never stop—so the role of the network has fundamentally changed,” Skeels explains.
“In the AI landscape, networking becomes a system dependency,” he continues. “If the network falters, the application falters instantly.
“An AI-ready network must make data movement deterministic. It’s not just about speed—it’s about predictability, observability, governance, and resilience. All of this must function seamlessly amid constant change.”
Yet many CIOs face what Skeels calls ‘connectivity everywhere but visibility nowhere.’
“They’re managing hybrid networks, multiple clouds, and numerous providers and portals, which creates ongoing operational strain,” says Skeels. “What they truly need is clarity and control—not more tools.”
Skeels joined Expereo last year with extensive cross-industry experience in product and digital transformation. He entered an industry ready for rapid change and a company committed to leading the charge—ensuring global connectivity pricing takes minutes, not weeks.
“When I arrived at Expereo, I saw that global connectivity had largely resisted real digital transformation for years,” Skeels observes. “Most customers still experience it as slow, manual, opaque, and fragmented across dozens of providers and portals.
“But with emerging technologies like agentic AI, that’s finally changing,” he adds. “Our goal is to make global connectivity as simple, immediate, and transparent as cloud computing is for our customers.”
Delivering this change requires a blend of speed and visibility—which is where the expereoOne platform comes in. It offers what the company describes as ‘visibility at the speed of life,’ giving customers a unified global view of deployments, performance, and costs. Beyond visibility, Skeels emphasizes the need for proactivity. “We integrate deeply into customers’ order management, ITSM, and ERP systems, making collaboration with Expereo seamless at scale,” he says.
“The key takeaway is that better visibility isn’t about more dashboards. It’s about linking network behavior to business outcomes in resilience, security experience, and cost.”
Skeels will speak at the Digital Transformation Expo Global on February 4–5 about designing AI-ready networks—and his session aims to challenge conventional wisdom. “I want to question a few assumptions,” Skeels notes. “I want attendees to reconsider—and even unlearn—some of what they’ve been taught.
“Much of what we took for granted about networks no longer applies in an AI-driven world.”
Watch the full conversation between Julian Skeels and TechEx’s James Bourne below:
Photo by Pixabay
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AI continues to transform technology and business, but for enterprise networks in the AI era, connectivity must be always-on and highly attentive to sovereignty and security.
Speed alone is no longer enough. As Julian Skeels, Chief Digital Officer at Expereo, points out, what matters most is 'certainty.' “AI workloads are distributed, continuous, and extremely sensitive to latency. Inference, monitoring, retrieval, and remediation never stop—so the role of the network has fundamentally changed,” Skeels explains.
“In the AI landscape, networking becomes a system dependency,” he continues. “If the network falters, the application falters instantly.
“An AI-ready network must make data movement deterministic. It’s not just about speed—it’s about predictability, observability, governance, and resilience. All of this must function seamlessly amid constant change.”
Yet many CIOs face what Skeels calls ‘connectivity everywhere but visibility nowhere.’
“They’re managing hybrid networks, multiple clouds, and numerous providers and portals, which creates ongoing operational strain,” says Skeels. “What they truly need is clarity and control—not more tools.”
Skeels joined Expereo last year with extensive cross-industry experience in product and digital transformation. He entered an industry ready for rapid change and a company committed to leading the charge—ensuring global connectivity pricing takes minutes, not weeks.
“When I arrived at Expereo, I saw that global connectivity had largely resisted real digital transformation for years,” Skeels observes. “Most customers still experience it as slow, manual, opaque, and fragmented across dozens of providers and portals.
“But with emerging technologies like agentic AI, that’s finally changing,” he adds. “Our goal is to make global connectivity as simple, immediate, and transparent as cloud computing is for our customers.”
Delivering this change requires a blend of speed and visibility—which is where the expereoOne platform comes in. It offers what the company describes as ‘visibility at the speed of life,’ giving customers a unified global view of deployments, performance, and costs. Beyond visibility, Skeels emphasizes the need for proactivity. “We integrate deeply into customers’ order management, ITSM, and ERP systems, making collaboration with Expereo seamless at scale,” he says.
“The key takeaway is that better visibility isn’t about more dashboards. It’s about linking network behavior to business outcomes in resilience, security experience, and cost.”
Skeels will speak at the Digital Transformation Expo Global on February 4–5 about designing AI-ready networks—and his session aims to challenge conventional wisdom. “I want to question a few assumptions,” Skeels notes. “I want attendees to reconsider—and even unlearn—some of what they’ve been taught.
“Much of what we took for granted about networks no longer applies in an AI-driven world.”
Watch the full conversation between Julian Skeels and TechEx’s James Bourne below:
Photo by Pixabay
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