According to the latest research from Strategy Analytics, global mobile phone shipments grew a striking 18 percent year-over-year, to 188 million units during Q2 2005 (April - June). Mega-vendors Nokia and Motorola outperformed in emerging markets, to grab an impressive, combined 50 percent share of total sales. Chris Ambrosio, Director of Strategy Analytics' Wireless Device Strategies service, noted, "Strong growth in emerging mobile phone markets, such as South America and Africa, is driving demand for increasing numbers of entry-level devices, precisely the mass-market segments where Nokia and Motorola are among the strongest." "The worldwide handset market is once again becoming concentrated in the hands of just a few major brands," said Neil Mawston, Associate Director of the Wireless Device Strategies (WDS) service at Strategy Analytics. "For example, Nokia and Motorola accounted for exactly half the global market in Q2 2005, leaving more than 60 other brands to fight for the remaining 50 percent." Following 361 million handsets sold globally in the first half of 2005, Strategy Analytics forecasts 775 million units for the full-year 2005.
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...