Will mobile music significantly increase operator mobile data ARPS? In the hopes of replicating the success of online music download services, the mobile industry sees Full Track Downloads (FTDs) as a promising strategy to grow revenues by increasing mobile data usage and reducing churn. Ultimately, the success of mobile music will rest heavily on the value it presents to all its stakeholders. Pyramid Research's new report "Get on Track With Mobile Music: Exploring Mobile Music Best Practices" analyzes two successful mobile music business models - SK Telecom's 'MelOn' and KDDI's 'Chaku-Uta Full' - and provides strategic advice for operators to maximize the opportunity. By analyzing KDDI's and SK Telecom's success, this report charts the evolutionary path of mobile music services through an examination of business models, enabling technologies, stakeholders, and global developments. Full Track Downloads will be popular and - if managed correctly - profitable for providers.
The prevailing narrative around artificial intelligence (AI) has been one of relentless scale. Bigger models, bigger clusters, bigger budgets. The assumption, largely unchallenged until recently, was that raw parameter count translated directly into competitive advantage. New research from Omdia suggests it's time to retire that assumption. According to the latest market study by Omdia, parameter growth in frontier AI models has slowed to around 5 percent annually since 2021, a stark contrast to the more than hundredfold expansion seen between 2019 and 2021. Enterprise AI Market Development For executives who have been making infrastructure and investment decisions based on the assumption that AI would keep demanding ever-larger, ever-more-expensive hardware, this finding deserves serious attention. The race to the top of the model size leaderboard has, at least for now, plateaued. Crucially, Omdia's analysts are not reading this as an AI winter. Alexander Harrowell, senior pri...