Revenue earned by consumer broadband value-added services (BVAS) more than doubled during 2004 -- At the beginning of the year it was running at an annual rate of about $3.3 billion worldwide. By the end of the year the figure was $6.9 billion. This is the first time it has been possible to estimate the growth of this new market, using the data provided by the second edition of Point Topic's report on The Consumer BVAS Market. The BVAS market is vitally important for service providers who need to find ways of increasing the revenue they receive from broadband services. The 2004 results are good news for them from this point of view. Most value-added services delivered over broadband increased in both users and total revenues. Services such as video over broadband, music and voice over IP (VoIP) all grew strongly. The increase in the run-rate of revenues was much steeper than the growth in the number of consumer broadband lines, which grew about 45 percent to 131 million, or in consumer broadband access revenues, which grew by about 22 percent to $39 billion. Price cuts by both DSL and cable operators resulted in revenues growing more slowly than the number of lines.
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...