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.
Artificial intelligence (AI) has rapidly become the defining force in business technology development, but integrating AI into applications remains a formidable challenge. According to a recent Gartner survey, 77 percent of engineering leaders identify AI integration in apps as a major hurdle for their organizations. As demand for AI-powered solutions accelerates across every industry, understanding the tools, the barriers, and the opportunities is essential for business and technology leaders seeking to evolve. The Gartner survey highlights a key trend: while AI’s potential is widely recognized, the path to useful integration is anything but straightforward. IT leaders cite complexities in embedding AI models into existing software, managing data pipelines, ensuring security, and maintaining compliance as persistent obstacles. These challenges are compounded by a shortage of skilled AI engineers and the rapid evolution of AI technologies, which can outpace organizational readiness and...