Worldwide Wi-Fi voice over IP (VoIP) handset revenue totalled $54.7 million in 2004 and the number of units shipped reached 143,000, according to a new report from Infonetics Research. It also predicts strong growth at least through to 2009 as steady adoption of voice over Wi-Fi continues. Infonetics has found that worldwide dual-mode Wi-Fi/cellular handset revenue hit $6.7 million in 2004, adding that Wi-Fi capability will eventually become a common feature in mobile phones, just as it is becoming standard in laptops today. Although Wi-Fi VoIP handsets represent a small market at present, it has great potential. In logistics and healthcare verticals in particular, voice over wireless local area networks is already gaining momentum and is likely to become widespread throughout the enterprise as VoIP and wireless LAN adoption continue. The Infonetics report suggests that there is potential for enormous growth in the consumer space, as VoIP services and wireless gateways are bundled with a broadband connection. It says that more dual-mode Wi-Fi/cellular handsets will reach the market, enabling enterprise users to roam across 3G networks, home networks, corporate wireless LANs, and Wi-Fi hotspots.
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...