One of the important things about location-based services is that they enable a host of other applications, delivering value greater than the sum of their parts. According to Kenneth Hyers, ABI Research's principal analyst of global wireless operator research, "It's not just a technology in your mobile phone that says 'you are here.' It can also pass that information to many other applications." Do you want a route home? A friend's location, relative to where you are? A location-stamp on that picture you took with your camera phone? LBS enable all these functions. A real-estate appraiser might photograph a house with a GPS-equipped phone, then combine the picture, its subject's GPS coordinates and, if linked to a navigation program, its actual address, and send that information to the office's billing system to identify the party to be invoiced for the service. "Mobile operators don't want to sell 'location technologies' -- that's too esoteric," concludes Hyers. "But they believe that if you tell an end-user, 'call us to check movie times and we'll route you to the theater', consumers will be willing to pay for that service." Is this fantasy or reality? That depends, ironically, on where you live and who your mobile operator is. Nextel has pioneered LBS in the US and maintains the most advanced portfolio. This year Sprint has shown a real interest. Hyers believes that "the combination of Sprint and Nextel could lead to some really interesting synergies where lessons learned on the corporate side at Nextel can be translated to Sprint's good consumer base." Outside the US, KDDI in Japan is successfully rolling out LBS. In South Korea, SK Telecom is pushing LBS strongly, while in Europe, Hutchison is attracting attention with its 3G LBS which Hyers terms "the best in the region."
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...