We have the technology, but will consumers subscribe to the services? -- "Tiny TVs have been around for decades without having much impact. That's about to change, according to a new study from ABI Research. New technologies mean that in the next few years, mobile phone users will be able to watch high quality, full-motion video on their small screens. Subscribers will also be able to access linked content, and buy program-related products and services from their wireless service providers. Ken Hyers, the firm's principal analyst of global wireless operator research, says that the new services will be based on a one-to-many model like conventional broadcast TV, rather than using the restricted bandwidth of mobile data networks. Next month these digital video broadcast networks will launch in Japan and South Korea, with similar services to debut in the US, Europe and elsewhere in late 2006 or early 2007. The content will largely mimic that of the short clips now available from some mobile services: news headlines, sports, children's programs, drama Mobisodes and music videos."
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...