Kagan Research releases financial rankings for over 100 cable networks -- according to the findings in a new Kagan databook entitled Benchmarking Cable Network Financial Statistics 2005 "Cable networks generated $26 billion in revenue during 2004. Over the past five years their revenue has grown at a CAGR of 11.2% per year despite the ad market meltdown. The cable network industry's average cash flow margin is 33.7%. But that average masks a large number of cash flow-negative networks. Not counting them, the average margin for healthy, established networks is greater than 40%. Ad revenue for the average network is 44% of the total, with affiliate revenue at 52%. It's no mystery why so many players seek entry into this lucrative sector."
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...