According to Pyramid Research, fixed-mobile convergence (FMC) revenues will reach $80 billion in 2009, or 6 percent of total communications spend worldwide. Converged service revenue growth will be derived from value-added services and the migration of digital content from broadcasting networks to new converged networks. Pyramid Research expects converged services adoption to accelerate after 2007 as more services are provided and consumers migrated to convergent platforms.
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...