According to In-Stat, the city of Glasgow, Scotland, is in the world news because of last week's meeting of global heads of state, but the city has other reasons to "crow." Glasgow is known as a city with a proactive approach to growth, and they are making innovative investments to raise awareness and attract visitors from around the world. They've become the first city to launch a 24-hour TV service that delivers a wide range of features and prerecorded "Content" to anyone with a broadband Internet connection and can play Windows Media. The site is becoming a destination not only for people who are interested in all things Scottish, but also as an example of how the broadband Internet is changing the concept of Television. Normally, it takes a full-time staff of dozens of technicians, producers, directors and talent to create a TV channel and keep it on-the-air around the clock. But Glasgow TV uses low-cost, off-the-shelf technology and local volunteers videotape and edit most of the content. A few local city employees ingest the content and feed it into an automated management and play-out system called "TV Station In A Box." The www.glawsgow.tv site also sets up an automatic link to the City of Glasgow's official web site, which provides a more traditional Internet experience, lots of detailed information about the area, and automatic links to other URLs.
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...