At the IBC show in Amsterdam last week, a London-based company called WiNetworks demo'd a WiMAX-based solution designed to provide satellite TV providers with a two-way broadband network over which they can offer triple-play services, including not only voice and data, but VOD and other two-way interactive TV applications (note: the solution could also be used to enable local ad insertion). The solution, which enables an always-on return path, is based on the company's patented "Hybrid WiMAX DVB" (HWDV) technology, which it says allows satellite operators to leverage their existing customer premises infrastructure (dish, set-top box, coax wiring, etc.) to deploy a WiMAX broadband wireless network at very low cost. WiNetworks says that it is the first company to use the new WiMAX protocol (IEEE 802.16 d/e) to deliver a solution uniquely designed for the DBS industry (note: WiMAX is a new broadband wireless standard backed by around 300 telecom technology and service providers). "The DBS carriers have recognized the need to expand beyond their existing satellite infrastructure in order to deliver broadband triple-play services," WiNetworks CEO, Effi Atad, said in a prepared statement. "Our innovative solution will do for DBS what HFC did for cable, and will make DBS operators the third and most effective broadband access channel to the home. Over time WiMAX' ability to deliver fully integrated fixed and mobile connectivity services will provide DBS carriers with an advantage over CATV and Telcos."
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...