SK Broadband has developed a platform that allows employees to create AI agents for immediate application in their work, enhancing the company's network quality management system.
On June 24, SK Broadband announced that it launched the 'Playground' platform in February, in collaboration with its internal network organization and the AT&DT Center. This platform features network data analysis and coding support, streamlining a previously complex process that required individuals to request server access, set up development environments, and install libraries—tasks that could take over two months. The Playground automates these steps, reducing the time to start development to just five minutes.
The Playground integrates with the location-based internal data analysis system, known as the Location Data Analysis System (LDAS). Employees can immediately utilize internal data such as network equipment, quality, traffic data, and customer experience indicators (CEI) for AI agent development.
Currently, approximately 600 AI applications are being developed and operated through the Playground, with over 30 AI agents already deployed in the field that can assess situations and take actions autonomously.
The flagship agent is 'C-One,' an AI monitoring and diagnostic agent that automatically detects anomalies in wired networks based on CEI, identifying causes and prioritizing checks instantly. It analyzes various factors, including quality score changes, complaint statuses, and optical signal strength, to pinpoint problem areas and suggest immediate actions such as remote equipment resets or on-site inspections. C-One also features an automated report generation and dispatch function for identified inspection points.
SK Broadband plans to enhance C-One into an 'autonomous recovery agent' that can independently perform detection, handling, and recovery of issues.
Additionally, the company operates a system that sends signals directly from nationwide servers to subscriber devices, measuring Wi-Fi and high-speed device quality in real time. This system automatically identifies low-quality devices, with AI analyzing fault history and time-based patterns to provide diagnosis, cause estimation, and immediate corrective actions all at once.
Seong Jin-soo, head of the Network Center at SK Broadband, stated, "As employees create AI agents and apply them in the field, the way we work is fundamentally changing. We will continue to promote a culture of AI development to consistently improve network quality."
* This article has been translated by AI.
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