Point Topic estimates that over 11 million people were using a retail voice over IP (VoIP) service for at least some of their telephone calls at the end of March 2005. That�s an increase from just over 5 million at mid-2004 according to Point Topic research published in December 2004 and the Point Topic VoIP Application Source profiles in Broadband Money Makers. This number is based on a total of publicly available figures for VoIP subscribers, combined with estimates where subscriber numbers were not available. Many of these estimates are based on a conservative 10 percent growth from Q4 2004 to Q1 2005. The total does not include PC-based soft-client services like Skype and VoiceGlo. Of these 11 million, well over half, 7.2 million, are in Japan. Yahoo Softbank provides the majority of these services, and they come bundled with the broadband subscription. Users need to retain their standard line and pay line rental. This is a common feature with VoIP services, often driven by regulation surrounding emergency calls. So for many of the bundled VoIP subscribers (in numerical terms primarily in France and Japan), the VoIP service is essentially a second line that enables cheap or no-cost out-bound calls.
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...