"Leading mobile operator Telefonica Moviles has commenced a trial service of TV over mobiles in its home country of Spain. Working with local service provider Abertis Telecom and equipment vendor Nokia, Telefonica will trial the use of DVB-H technology in Madrid and Barcelona between September and February next year. The test will conclude at the closing ceremony of the relocated 3GSM World Congress. The project, which is backed by major Spanish regional and local broadcast channels, is first of its kind to take place in Spain. 500 users from Madrid and Barcelona will be able to watch broadcast TV content from Antena 3, Sogecable, Telecinco, Telemadrid, TVE and TV3 on specially equipped Nokia 7710 smartphones. They will also have the opportunity to take part in program related interactive services while watching TV. The first technical pilots prior to the actual consumer pilot will start in June 2005. The consumer pilot will allow the three companies to test the feasibility of DVB-H technology and new mobile TV services. It will also be a chance to assess new business opportunities as well as refine the user experience."
Enterprise AI adoption keeps running into the same wall: the moment sensitive data, model weights, or agent memory leave a tightly controlled environment, security teams lose visibility into what happens to them while the workload is actually running. Confidential computing exists to close that gap, and new research from ABI Research shows the technology has matured enough, across CPUs, GPUs, containers, and now agentic AI, to become a foundational requirement for enterprises building sovereign AI infrastructure: computing environments they control end to end rather than simply rent. Protection is Moving From CPUs to GPUs ABI Research finds that CPU-based confidential computing is closest to mass-market adoption, the product of years spent hardening chip-level isolation for general workloads. GPU-based confidential computing is now generating the strongest momentum, and for good reason. It addresses one of the largest unresolved gaps in AI security: protecting data and models while inf...