Today’s telecom news includes announcements on Proximus, Nokia, T-Mobile, Ericsson, among others.
Proximus Appoints Fiona Lam as CFO to Accelerate Strategic Growth
Proximus has named Fiona Lam as its new Chief Financial Officer, effective September 1, as the telecom group strengthens its leadership to support future growth ambitions. Lam brings more than two decades of international experience in finance, audit, and risk management across telecom, electronics, and manufacturing industries. She previously held senior finance roles at Philips Lighting, Punch Powertrain, and Neways Electronics International, and currently serves as CFO of Agfa-Gevaert Group. Proximus said Lam will help drive financial performance and strategic execution across its domestic and global operations, while interim CFO Nicolas Gaertner ensures a smooth leadership transition.
Nokia Ignites the Cognitive Broadband Era with Powerful Agentic AI Breakthrough
Nokia has introduced new agentic AI capabilities across its fixed network portfolio, aiming to help telecom operators improve broadband performance, streamline operations, and accelerate fiber deployments. Built on experience from more than 600 million broadband lines worldwide, the AI-powered enhancements are integrated into Nokia’s Altiplano, Corteca, and Broadband Easy platforms. The company said the technology enables autonomous reasoning, proactive issue resolution, automated root cause analysis, and natural language interaction to simplify network management. Nokia expects the innovations to significantly improve operational efficiency, including faster incident qualification, higher first-contact helpdesk resolution rates, and fewer repeat visits to customer sites. The move aligns with growing industry investment in agentic AI as operators transition toward self-optimizing cognitive broadband networks.
AI Supercharges 5G: T-Mobile and Ericsson Achieve Global First in Live Network Trial
T-Mobile and Ericsson have achieved a world-first milestone by moving AI-native Scheduler with Link Adaptation into large-scale commercial trials on live 5G Advanced traffic. The innovation uses neural network-based software running on Ericsson hardware to predict changing radio conditions in real time, improving network efficiency and delivering faster, more stable connectivity. During the trials, the companies recorded nearly 10 percent higher spectral efficiency and up to 15 percent improvement in downlink throughput compared to conventional rule-based systems. The achievement marks a major step toward AI-native radio access networks, helping operators enhance customer experience, optimize network performance, and prepare infrastructure for future AI-driven and 6G applications.
SHAFANA FAZAL
