RCR Wireless News’ Post

Telecom’s next chapter begins at the edge — where intelligence, security, and agility are converging to redefine how networks create value. The industry is moving beyond connectivity-as-a-service to intelligence-as-infrastructure. Edge computing is becoming the new operating layer where data meets decision. #AI workloads are migrating out of hyperscale clouds and into distributed systems, unlocking faster processing, lower latency, and new economics for automation. In the debut episode of Juan Pedro’s new Rack to RAN video series, KPMG’s Phil Wong explains how #AI is driving this fundamental shift — transforming how computing power is deployed and consumed as enterprises redesign their digital stacks to support emerging workloads and smaller, specialized models. “Some enterprises are now creating their own small language models that are trained and learn in context — whether it’s the process or the organization,” he said. That shift demands a parallel evolution in security. Israeli startup OneLayer, fresh off a $28 million funding round, is helping enterprises bake zero-trust defenses directly into private #5G networks — ensuring industrial connectivity is secure by design, not by patch. “#AI is a major driver of private #5G adoption,” OneLayer CEO Dave Mor told RCR Wireless News, adding that as edge connectivity grows, enterprises are demanding not just speed, but verifiable trust, visibility, and security across every link. Meanwhile, SK Telecom’s 90% profit plunge following a costly security breach underscores the price of neglecting edge-first vigilance, suggesting that the winners in this race won’t just connect data, but convert it into intelligence, insight, and trust in real time.

Alessandro Bandera

Mechanical Engineer P.E. ; Vehicle Dynamics; interested in Sport&Muscle Cars , Cars Racing and Aerospace&Defense.

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Beginning at the Network Edgw : The industry is moving beyond connectivity-as-a-service to intelligence-as-infrastructure. Edge computing is becoming the new operating layer where data meets decision. AI workloads are migrating out of hyperscale clouds and into distributed systems, unlocking faster processing, lower latency, and new economics for automation. And much more ahead Thank you for sharing

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