While traditional radio remains the most popular means of accessing music, radio listening has declined 4 percent in the last year while listening to music on a computer has increased by 22 percent, according to a survey of 5,000 consumers conducted by NPD Group. The study noted that 194 million people reported listening to the radio in March, while 77.2 million listened on a computer. Online radio listening increased 18 percent to 53.5 million, as did free streaming of online music, which was up 37 percent to 46.1 million consumers. NPD also found that the number of consumers ripping music onto their computers increased 102 percent from a year ago, while transferring music to MP3 players jumped 127 percent and paying to download songs grew 93 percent. "The rise of digital listening and storage for music continues unabated this year," said NPD Group's Russ Crupnick. "Technology companies are providing new tools to consumers in the form of powerful music-enabled PCs and portable music players, music companies are answering the call for more content and consumers are responding positively."
The field of enterprise software development has long been driven by human ingenuity. Programmers have meticulously crafted lines of code, bringing complex apps and systems to life. However, a new era is dawning, one where Artificial Intelligence (AI) is poised to fundamentally change the way software is created, tested, and deployed. According to the latest market study by Gartner, a significant shift is on the horizon. By 2028, 75 percent of enterprise software engineers will be utilizing AI-powered code assistants. This statistic paints a clear picture: AI is not here to replace software programmers, but rather to augment their capabilities and usher in a new era of collaborative co-creation. AI Code Assistant Market Development The rise of AI code assistants can be attributed to several factors. Firstly, the ever-increasing complexity of software demands new tools to streamline development. Modern applications are intricate networks of code, often built upon a foundation of existin