WiBro, the wireless broadband platform favored by South Korean operators and vendors, will become a prominent access technology not only for South Korean wireless Internet businesses but also in the global arena. KT and SK Telecom have been aggressively preparing to launch WiBro commercial services early next year. WiBro vendors and operators in South Korea are already making progress faster than the WiMAX camp in terms of specification and market scale. Conventional wisdom previously regarded WiBro as a local specification fulfilling Korean local conditions only, but it is gradually becoming accepted as a potential global specification, especially when WiBro provides interoperability with IEEE 802.16e. WiBro has been expanding its global presence. In July, the Japanese government, accepted WiBro along with mobile WiMAX as a next-generation broadband wireless standard candidate. In the meantime, WiBro with VoIP can offer lots of benefits in terms of economics and fast deployment for global operators. According to ABI Research senior analyst Andy Bae, "With Korean users' high demands for wireless multimedia services via the Internet, and KT's aggressive 'WiBro as Next Growth Engine' plan to compete with SK Telecom-backed HSDPA, WiBro in South Korea will be well-positioned." Nonetheless, terminal vendors should carefully examine users' preferences and market demands for applications, in accordance with service roadmaps.
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...