According to MRG, the shift from MPEG-2 to MPEG-4 encoding and headend purchases is expected to begin in volume in the 2007 to 2008, meaning prolonged life for MPEG2 in IP TV systems. Moreover, the rise of IPTV content subscribers will drive an equally rapid installed based of IPTV video headends. Broadband service providers in the U.S., Asia, and Europe have announced or plan to announce deployments of IPTV-based content services, opening up opportunities for all video headend suppliers. One key forecast is that IPTV subscriber revenue will grow from about $400 million in 2004 to over $6 billion in 2008, meaning a substantial investment in content and infrastructure is fast approaching. Whether for SBC, Verizon, or BellSouth in the U.S., China Telecom in Asia, or France Telecom or Telefonica in Europe, IPTV video headend suppliers must help service providers compete in increasingly competitive markets. "IPTV vendors, in addition to offering unique and innovative services, have to use new technologies to achieve competitive advantages,' stated Gary Schultz, MRG principal analyst. "Yet the end-to-end value chain needs to remain price-sensitive to new adopters."
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...