Category: AI

Why bridging Private 5G security gaps protects enterprise networks

Integrating Private 5G security into enterprise networks requires bridging the gap between cellular protocols and existing IT governance. Industrial connectivity is moving past simple coverage requirements. As organisations digitise physical infrastruc…

Single-server vRAN proves viable for commercial networks

Samsung and Intel have demonstrated single-server vRAN viability for commercial networks—a pivotal step in reducing hardware sprawl for operators. The challenge for telecoms leaders lies in balancing network performance with the need to reduce Total Co…

How AI-RAN delivers operational ROI for telcos

AI-RAN delivers operational ROI for telcos by moving beyond theoretical concepts into practical energy and spectral efficiency gains. As operators face flatlining revenues and spiralling complexity, the focus has shifted from technological novelty to b…

6G networks will host AI agents to automate enterprise workflows

Future 6G mobile networks will go beyond simple connectivity by hosting AI agents to automate complex enterprise workflows. While 5G focused on bandwidth and latency, early standardisation work suggests the next generation of mobile infrastructure will…

Telecoms in 2026: Edge AI, data sovereignty, and monetisation

Telecoms strategies in 2026 must aim to strike a balance when it comes to edge AI, data sovereignty, and the monetisation of media. 2026 represents a complex convergence of operational automation, regulatory compliance, and hardware capability. The nar…