Hopes for Telco triple-play go back some time, observed Phil Corman, Director of Microsoft TV, and as the US West Choice TV & Online service demonstrated, the results have been disappointing -- So why now? For telcos, it is becoming a matter of simple survival, said Corman, and compared to earlier efforts, this time the technology is ready. An important starting point, said Corman, is to consider what IPTV is not. �IPTV is not video streaming over the Internet, watching TV on your PC or merely a best-efforts video service. It has to be based on a proven business model.� Corman believes a key to the new paradigm will be the Electronic Program Guide that allows users to navigate the service. One of the benchmarks for enabling IPTV is the establishment of a viable ecosystem of technology suppliers and content providers. Microsoft�s recently announced strategic partnership with Alcatel is aimed at achieving this goal, explained Corman. Microsoft�s other IPTV partners include Tandberg and Harmonic for video headend. At the client side, Microsoft is looking for mass-market IP set-boxes at price points below $100. Here partners include Thomson, Samsung, Sigma Designs, ST and Intel. Corman said Microsoft currently has about a dozen customers for its IPTV service, including the recent high-profile wins at BellSouth, SBC and Verizon.
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...