Conventional wisdom says that until the advent of 802.16e mobile WiMAX systems -- still some time in the future -- the wireless broadband standard will be more or less confined to the great outdoors. Some "near-outdoor" systems involving window-mounted receivers may be feasible, but for practical purposes WiMAX is considered an outdoor last-mile replacement technology. However, ABI Research analysts say that there are optional specifications built into the 802.16 standard which can boost the sensitivity of receiving equipment to the extent of making WiMAX PC cards and built-in receivers a practical proposition for laptops, PDAs and other portable devices. Generally these optional specifications have not been implemented by the largest vendors of WiMAX equipment. According to senior analyst Philip Solis, what this means is that "There may be WiMAX PC cards on the market earlier than many observers have expected. These will result from superior chipsets permitting the use of WiMAX in laptops and similar devices in homes and offices within the reach of fixed WiMAX transmissions. You will not have full mobility as you will with 802.16e, but you will have some portability."
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...