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独家对话中国联通赵亚晖,AI时代的“数据燃料”是如何炼成的?

Core Insights - High-quality data is becoming a differentiated advantage for China's AI industry [1][5] - China Unicom has showcased its data industry foundation at the WAIC, emphasizing its unique path in data governance, security, and industry empowerment [1][2] Group 1: Data Infrastructure and Capabilities - China Unicom's data foundation integrates computing power, algorithms, and high-quality data sets, focusing on the construction of high-quality data sets [2][3] - The company has accumulated 700PB of enterprise data and created over 400TB of high-quality communication and industry data sets through collaboration with industry partners [2][3] - A framework called "Three Ones" has been established, which includes a governance methodology, a platform tool, and a high-quality data set [3][4] Group 2: Data Governance and Tools - A data governance methodology has been developed to manage data sets through a classification framework and a dynamic optimization mechanism [3] - A comprehensive toolchain has been created for the entire data processing lifecycle, from collection to quality evaluation, which has won the DataOps Product Innovation Award [3] - Specialized data sets have been built for eight fields, supporting training and fine-tuning of 27 large model scenarios, with some data sets recognized as exemplary by the State-owned Assets Supervision and Administration Commission [3] Group 3: AI Transformation and Industry Applications - China Unicom's strategy focuses on specific industry scenarios, enhancing smart operations and digital transformation across various sectors [6] - The company has developed over a thousand intelligent agents and engaged more than ten thousand participants in AI transformation initiatives [6] - Real-time, accurate, and reliable communication data is highlighted as a unique advantage for empowering various industries [6] Group 4: Data Security and Privacy - China Unicom recognizes the dual nature of data circulation, balancing value release with security and privacy challenges [7] - The company has established multiple security measures, including a data classification platform and a multi-layered technical protection system [7] - Active participation in national trustworthy data space construction aims to ensure efficient, secure, and traceable data circulation [7]