Skip to main content

U.S. Mobile Number Portability

According to Pyramid Research, mobile number portability (MNP) was first instituted in the U.S. on November 24, 2003 � a date wireless carriers feared most. U.S. mobile operators braced themselves for what they expected to be one of the largest challenges within their industry. Eighteen months after its introduction, number portability has been more of a lumbering elephant and less of a roaring lion. At the onset, the FCC, wireless operators, and many industry analysts expected 30 million subscribers to transfer their wireless number within the first 12 months of MNP�s introduction. Only 7.8 million actually did. The top five national carriers have all added customers during this time, with AT&T/Cingular growing by about 5 percent on the low end, and T-Mobile growing by more than 33 percent on the high end. Overall, Verizon Wireless and T-Mobile have been the biggest winners as they have focused on improving network quality and customer service. However, the new Cingular may soon become MNPs largest beneficiary as it has become the nation�s largest carrier.

Popular posts from this blog

The AI Application Integration Challenge

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...