Enthusiasm is still building around the nascent MPEG-4 AVC market, but the use of advanced video decoders does not mean that MPEG-2-only decoders will disappear from the market soon, reports In-Stat. In fact, MPEG-2 unit shipments are expected to experience growth until 2009, though declining ASPs for MPEG-2 solutions will cause revenues to decline, the high-tech market research firm says. "Buzz is really all there is to MPEG-4 AVC currently," says Michelle Abraham, In-Stat analyst. "We expect the market will be small in 2005, as many decoder IC suppliers have been conducting interoperability testing with encoder suppliers. We expect widespread availability of MPEG-4 AVC decoder ICs beginning in 2006." The worldwide MPEG Video IC market revenues for 2004 were US$ 3.8 billion. MPEG-4 Video ICs will appear in more and more mobile handsets as mobile video delivery systems based on standards like DVB-H and DMB are deployed around the world. In the MPEG-2 consumer encoder IC market, NEC Electronics had the top unit share in 2004 for the second year in a row, mainly due to its design wins in DVD recorders. STMicroelectronics had the highest MPEG Video IC revenue again in 2004, for the fifth straight year.
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...