Globally, operators can expect to see the level of revenues contributed by data traffic to rise from 12 percent in 2005 to 18 percent in 2010, according to Mobile Content and Services, a new report from Informa Telecoms and Media -- "Currently, the global market for mobile data services and content is worth in excess of $71 billion. Operators have seen steadily declining voice revenues year on year caused by an increasingly competitive marketplace, coupled with an increasingly demanding subscriber base. It is expected that over the next five years this decline in voice ARPU will be offset somewhat by data revenues as operators finally start to realise the potential of the huge investments they made in mobile data networks. Person to person messaging currently represents the largest proportion of an operator�s data revenues, and by 2010 will contribute in excess of $87 billion to the their coffers."
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...