"There�s renewed speculation that Google is planning to enter the telco arena as more revelations come to light about the company�s (very) low-profile U.S. fibre purchases together with news of an interesting alliance with a Wi-Fi enterprise that owns a customer location search technology. The September edition of the magazine Business 2.0 says that Google is quietly assembling a collection of alliances and assets that could enable it to offer Wi-Fi services funded by location-based advertising. And it also reveals that Google may be already test-driving the business model in San Francisco. The magazine confirms previous rumours that Google has been buying up cheap fibre across the U.S. from providers such as AboveNet, Cogent and WilTel. The immediate rationale for this is obvious: Google gets to keep more of its burgeoning traffic on-net and avoid high IP transit fees to connect to the access networks used by its customers. In doing so, Google effectively becomes an ISP itself, using peering arrangements to further cut its costs. However, what would happen if Google was to go just one step further and connect directly into the access network? Well, this may already be happening, says Business 2.0"
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...