Category: *AI & Predictive Networking

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…

Samsung and KT validate AI-RAN optimisation on live networks

Samsung and telecoms operator KT have demonstrated the benefits of AI-RAN optimisation on live commercial networks. The partners confirmed that AI can maintain stable service quality on a live network, even as users move through challenging environment…

Samsung and SK Telecom partner on AI-RAN for 6G infrastructure

Samsung and SK Telecom (SKT) are partnering to build core 6G infrastructure, betting heavily on AI radio access network (AI-RAN) technology. The deal focuses on integrating AI directly into the network’s edge rather than just the core. To counter incre…

SK Telecom: Why the AI infrastructure bottleneck matters

Telecom companies, with their extensive real estate and existing network infrastructure, are re-evaluating their role in the AI era. Enterprise leaders face a growing dilemma: the computational and energy demands of generative AI models are outpacing t…

How AI-native 6G networks will boost enterprise operations

While the transition from 4G to 5G was mainly about quicker speeds and less delay, AI-native 6G networks will be totally different. Converging telecoms and AI is set to improve operational efficiency, risk management, and the user experience itself. Th…

Telecom operators link AI goals to cloud spend

Telecom operators are speeding up their move to the cloud because they want to automate their operations using AI. Omdia predicts that global spending on cloud tech and software for telecom networks will jump from $17.4 billion in 2025 to $24.8 billion…

How Vodafone is tapping AI to automate 5G network operations

Vodafone and Zinkworks are developing a generative AI platform to automate telecom management and cure the headache of 5G network operations. The goal is to improve how well the network runs, and how little energy it uses. The difficult part for compan…