According to Point Topic, broadband value-added services for business users showed revenue growth of just over 60 percent during 2004. At the start of 2004, revenue was running at a yearly rate of around $2.3 billion. This figure grew to $3.7 billion by year-end. This is the first time that it has been possible to estimate the growth of the new market. Value-added services are extremely important for service providers, who need to find ways of increasing revenues from broadband services. As broadband connection tariffs become more competitive in price, value-added services are the most important way of increasing margins for service providers. This makes these 2004 results important for ISPs serving the business market. Growth in BVAS revenues was lower than the rate of growth in the number of business broadband lines. These grew from 10.6 million to 19 million during 2004, an increase of 79 percent. Most businesses continue to obtain and use their broadband connections just for Internet access and related applications such as email. Relatively few use broadband to increase the efficiency of their internal business processes. Business broadband access revenues (the total revenue from installation and connection charges) grew more slowly than the number of lines during 2004, increasing by just under 50 percent from $13 billion to $19 billion. This was because of reducing average tariff levels during the year.
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...