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AI & Enterprise

Context before models as agentic OS race intensifies

Competition is intensifying over platforms that optimise multiple AI models with internal corporate data so AI can better understand organisations and execute tasks. Enterprise software companies are treating such platforms, which help AI grasp corporate context and play an operating system role, as strategically important. Microsoft, Snowflake, Adobe and SAP have highlighted products and strategies focused on context layers, governance and services for AI agents, while interest also rises in PCs and chips running AI locally.

Telecommunications & Media

SKB uses AI agents to manage network quality, boosts AX push

SK Broadband said on Tuesday it is applying an in-house platform that allows employees to create artificial intelligence agents to network quality management. Built in February with its network unit and AT·DT Center, the platform automates development setup so work can start in five minutes. Linked to a location-based data analysis system, it uses network and customer-experience data. It supports about 600 AI apps and about 30 AI agents, including the C-One monitoring and diagnostics agent.

AI & Enterprise

Meta unveils Muse Spark AI model, eyes AI-native networks

Meta has unveiled its Muse Spark AI model, its first since hiring former Scale AI CEO Alexandr Wang nine months ago. The launch is being watched as a potential variable in an AI model market led by OpenAI, Google and Anthropic, alongside Chinese firms. The article also tracks moves around AI-native infrastructure and robotics foundation models, plus new products and funding across OpenAI, Anthropic and a range of tech companies.