South Korea's largest cellular company, SK Telecom, has provided a mobile music portal service called �MelOn� since the end of 2004. MelOn is the first integrated, wired and wireless, music service that allows users to enjoy music virtually anytime, anywhere using a portable MP3 player, a PC, or a mobile phone. The main MelOn interface is a music download and streaming Internet portal, www.melon.co.kr. The service is akin to a rental service, with users �renting� tracks on a monthly basis for use on various terminals. MelOn users pay a 5000 won (US$4.50) monthly subscription to stream music to a PC or download tracks to their phone as long as their subscription is current. Digital rights management (DRM) wrappers on the music guarantee a subscriber is current, and tracks are erased from the end-user�s library at the end of the subscription period. To download tracks onto the handset, users pay for airtime at regular call rates, regardless of the size of the track. The key to the model is its ubiquitousness, downloads are possible using wireline and wireless platforms, and a relatively affordable monthly subscription fee. SK Telecom acquires the rights from the record companies for music to use as ringtones, ringbacks and full version downloads. Music companies are not necessarily enamored by the scheme, but SK Telekom has generally used its market heft to have its way. To further strengthen its position, SK Telekom acquired Korea�s YBM Seoul Records, reportedly Korea�s largest record company.
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...