RBOCs Entering the $50 Billion Multichannel Video Market Follow Different Product Development Strategies to Compete With MSOs -- According to Yankee Group, "Despite public statements to the contrary, we believe MSOs aren�t taking the threat of new competition lightly � and they shouldn�t: We estimate cable will lose subscribers at the rate of 0.5-1 percent per year. This is before the entry of new competition with a two-way network, with more bandwidth and potentially more advanced applications than the MSOs can provide. In the last 4 years, RBOCs have steadily lost residential wireline voice subscribers. Yankee estimates that about 4 percent of US households have dropped their wireline phones. In addition, a growing number of voice minutes are shifting to wireless. We expect traditional wireline voice revenue to decline by approximately 24 percent in the next 4 years. Alternative voice providers, including MSOs, will be important drivers of this revenue erosion. We anticipate that cable�s VoIP product will gain 12 million homes by year-end 2008. The RBOCs have their backs up against a wall and cannot postpone new product development."
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...