Di Yi Cai Jing·2025-12-16 10:14Core Viewpoint - The State-owned Assets Supervision and Administration Commission (SASAC) of the State Council is conducting research on enhancing the penetrating supervision of state-owned enterprises, with China Telecom's Yipay participating as a key support unit, showcasing its capabilities in digital technology for intelligent regulatory transformation [1][2]. Group 1: Research and Development - China Telecom's Yipay has formed a specialized research team that integrates data, technology, and business fields to support the development of a penetrating supervision system [2]. - The research focuses on two main directions: "system construction" and "data responsibility," aiming to create a systematic implementation plan for intelligent penetrating supervision [2]. Group 2: Implementation Pathway - The "Yufeng" platform is developed based on research and practice, featuring a six-step implementation path that includes organizational support, top-level design, infrastructure preparation, data foundation construction, model platform development, and operational supervision [3]. - The platform aims to address governance challenges by providing a real-time, automated warning system for penetrating supervision [3]. Group 3: Technological Capabilities - The "Yufeng" platform operates on a data-driven, risk-insight, and intelligent supervision philosophy, featuring a core architecture that enables comprehensive risk visibility and intelligent early warning [5]. - It has the capacity to process EB-level massive data, integrating over 300 million business entities and more than 2 billion relational data points, significantly enhancing model inference speed by up to 6.5 times [5]. Group 4: Practical Outcomes and Recognition - The "Yufeng" platform has received multiple authoritative recognitions, including being selected as a high-value scenario for artificial intelligence by SASAC and winning the Wu Wenjun Artificial Intelligence Science and Technology Progress Award [6]. - The platform has effectively improved risk prevention capabilities for over 30 central enterprises, addressing key risk scenarios such as illegal affiliations and false trade [6].