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…

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…

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