Next-generation television services that focus on interactivity are most likely to find success in Spain, the UK and Japan, with the US ranking sixth in a study that examines the digital readiness of 12 countries for interactive and personalised television services -- Consumers in general exhibited varied levels of interest in targeted television services specific to enhanced communications, personalisation, interactivity, and TV-to-PC convergence. The report suggests that operators planning to deploy IPTV or internet protocol television services will need to take into account the requirements of each region. In Spain, nearly 80 percent of those surveyed showed an interest in at least one key advanced television offering, especially those related to interactive features such as personalised recommendations and voting. In both the UK and Japan, 75 percent showed an inclination towards interactive services. In France and Canada the number was 73 percent, while in the US it was 72 percent. These were followed by Australia and Taiwan with 70 percent, with Korean and China with 69 percent and 68 percent respectively. There was apparently less interest in Germany and Italy, where 65 percent and 58 percent of respondents expressed an interest.
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...