紧抓前沿机遇，专家热议AI赋能央国企数智化转型

Core Insights - AI technology is recognized as a disruptive force in the national strategic emerging sectors, integrating rapidly with various industries, presenting new opportunities and challenges for state-owned enterprises (SOEs) [1] - The "2025 Global Digital Economy Conference" focused on how information technology innovation can assist SOEs in achieving digital transformation, emphasizing the importance of high-quality development through technological innovation and digital empowerment [1] Group 1 - Liu Longgeng, Executive Director of the China Software Evaluation Center, stated that information technology is a crucial support for enhancing SOEs' competitiveness and promoting healthy industry development [1] - The transformation of SOEs is expected to enter a new stage of higher quality and level, driven by the role of SOEs as "chain leaders," breakthroughs in autonomous intelligent technology, and the active flow of data elements [1] - Peng Jianguo, former Deputy Director of the State-owned Assets Supervision and Administration Commission Research Center, emphasized the need for SOEs to align with high-quality development strategies during the 14th Five-Year Plan period [1] Group 2 - Experts from various fields shared insights on AI's role in SOEs' transformation, with a focus on the practical applications in urban transportation and intelligent customer service [2] - Xu Zhibin, CIO of Beijing Capital Highway Development Group, noted that AI has enabled intelligent customer service to account for 80% of interactions, while challenges remain in model accuracy and false positive rates [2] - Zheng Weimin, an academician at the Chinese Academy of Engineering, highlighted the urgency of building a domestic intelligent computing ecosystem to support national digital economy strategies [2] Group 3 - Zheng Weimin identified two core tasks for the development of domestic intelligent computing systems: improving usability and developing low-cost personal inference machines [3] - He proposed the need to create a CUDA-like system to enhance the domestic AI ecosystem, focusing on software and hardware collaboration [3]