According to two new reports issued this week, while operators recognise the need to provide bundled service offerings, they have yet to determine how to change consumer buying habits and generate extra demand. Recent consumer market studies by Yankee Group and In-Stat show that consumers are not used to looking for a bundled service offering and are still most attracted by the lowest price available for a specific service. In-Stat reports that just 14 percent of potential residential customers in the US intend to sign-up for a bundled offering from a single service provider in the next twelve months, prompting a warning that operators need to better understand specific market segments and provide more targeted offerings. Commenting on what she described as �tepid at best� growth potential for bundled services, In-Stat analyst Amy Cravens said, �In order to better capitalise on the bundled opportunity, providers must offer a variety of package choices to match the appropriate services with different customers� needs.�
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...