The Diffusion Group (TDG) believes that the standardization of MPEG and the availability of ASIC-based low cost/high volume MPEG4 systems and set top boxes will ultimately prevail in the world of PayTV. WM9 may make some sense for content distribution to the PC. However, with media giants such as News Corp entering the broadband fray, we may soon see MPEG4-H264 become widely used on the Net for IPTV distribution. Microsoft has been fighting the video battle on many fronts, arguably too many �- from video codec format to encoder systems; from VOD servers to Digital Rights Management; from PayTV middleware platform to Windows Media 9 play list & trick play modes and signaling controls. It seems that Microsoft is doing its best to own a piece of every stage of the video experience �- far too many for other media giants like News Corp to be comfortable. Moreover, in a system like a TelcoTV platform �- where the integration of stable, coherent, and well-defined system components is critical �- TDG believes that providing too many pieces of the system actually works against both the vendor and the service operator that deploys them.
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...