Customers are becoming increasingly dissatisfied with their cell phone service as the major wireless operators in the United States merge together, said a J.D. Power and Associates report. Overall satisfaction with a subscriber�s wireless provider dropped 10 percent in 2004, the largest year-over-year change since the U.S. Wireless Regional Customer Satisfaction Index Study was launched a decade ago. The findings provide a harsh contrast to the claims of the merging companies and their officials, who hope to smooth over the possible negative effects of industry consolidation on the consumer. �Given the number of major changes consumers have experienced over the past couple of years, the gap between customer expectations and actual service experience tends to widen as uncertainty from mergers greatly influences consumer perceptions,� said Kirk Parsons, senior director of wireless services at J.D. Power and Associates. The report, which surveyed 24,096 wireless users, found that forces like mergers, regulatory programs, and competitive expansion have made it difficult for carriers to meet customer expectations. The companies that underwent major mergers had greater drops in customer satisfaction.
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...