Today’s telecom news includes announcements from Liberty Global, Google Cloud, Boingo, Globalstar, Ooredoo, Polystar, and others.
Liberty Global Teams Up with Google Cloud in Bold Five-Year AI Push
Liberty Global and Google Cloud have unveiled a five-year strategic partnership designed to accelerate AI-driven transformation across Liberty Global’s European telecom operations. The collaboration will integrate Google Cloud’s advanced AI capabilities, including Gemini models and cloud infrastructure, into Liberty Global’s platforms to enhance customer experience, network performance, and operational efficiency. Key initiatives include AI-powered content discovery for TV services, automated and more responsive customer support, and smarter network optimization.
Boingo Powers Up Private 5G with Globalstar’s XCOM RAN Technology
Boingo Wireless has strengthened its private 5G offerings by integrating Globalstar’s XCOM RAN into its network deployments. The collaboration targets high-demand environments such as airports, stadiums, healthcare facilities and military bases, where secure and reliable connectivity is critical. XCOM RAN is a software-defined, carrier-grade solution designed to support flexible spectrum use while delivering high capacity and low latency across both indoor and outdoor locations. Boingo said recent trials validated the technology’s performance and its ability to integrate smoothly with existing infrastructure, including distributed antenna systems (DAS).
Ooredoo Accelerates AI-Powered Network Intelligence with Polystar Deal Ooredoo Group has signed a framework agreement with Polystar, part of Elisa Industriq, to strengthen mobile and fixed broadband analytics across its operations. The partnership will allow Ooredoo to consolidate data from multiple network vendors into a single, unified analytics platform powered by AI and DataOps. By deploying Polystar’s OSIX Monitoring, Kalix Analytics, and Kalix DataOps solutions, the operator aims to gain real-time visibility into network performance, enhance service reliability, and improve customer experience. The rollout will follow a phased approach, starting with a scalable analytics foundation and expanding toward advanced data integration and machine-learning-driven insights to support faster and more informed operational decision-making.
SHAFANA FAZAL
