MRG is announcing a new installment of its IPTV Tracking Service series, IPTV Content Strategies - May 2005. This report provides a comprehensive analysis of IPTV (IP TV) content deployment strategies in four major global markets. It reveals how international and local content developers, aggregators, and consultants are assisting IPTV service providers in the design and deployment of linear video, video-on-demand (VOD), and interactive services. "IPTV services cannot simply mimic cable or satellite to be successful," states Bob Larribeau, MRG Senior Analyst. "Service providers have to offer different and better choices to succeed against cable or satellite." On the way out is "forced buy-through," which requires consumers to subscribe up to 80 "basic" channels before accessing premium channels; and on the way in is "personalization," where consumers have direct choice over large groupings of linear and VOD channels, rather than paying for scores of channels they don't use. The report gives examples of how IPTV providers are innovating in two critical areas-better choice (without forced buy-through) and better interactive experiences.
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...