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中国移动董事长杨杰:激发数据要素潜能 共谱“AI+”时代华章
Sou Hu Cai Jing·2025-08-28 09:51

Core Viewpoint - The speech by Yang Jie at the 2025 China International Big Data Industry Expo emphasizes the transformative potential of data in the "AI+" era, highlighting its role in driving innovation, economic growth, and ensuring data security. Group 1: Data's Role in AI Innovation - Data scale and quality are becoming the "power source" for accelerating AI innovation, with new data sources driving AI applications from "usable" to "well-used" [3] - The integration of data serves as a "catalyst" for new economic forms, enabling businesses to optimize services and meet diverse consumer needs, thus unlocking new growth avenues [3] Group 2: Data Security and Governance - Data security and trustworthiness are essential for building a smart society, necessitating a comprehensive data security governance system to balance data development and safety [3] - The company is committed to enhancing data supply, flow, and utilization while ensuring security, thereby maximizing the multiplier effect of data elements [4] Group 3: Company Initiatives and Innovations - The company is developing a high-quality data supply system, with over 2000PB of high-value data and a data analysis capability that processes over 100 billion instances annually [4] - The launch of the first industry data circulation infrastructure, the Data Sharing Network (DSSN), facilitates cross-industry and cross-region data connectivity, supporting over 100 million transactions monthly [4] - The company is enhancing data utilization across various sectors, including tourism and finance, with significant usage metrics, such as serving over 170 financial clients with more than 1.5 billion annual transactions [5] Group 4: Regional Development and Collaboration - Guizhou is positioned as a national innovation zone for digital economy development, with the company actively participating in key infrastructure projects to strengthen the region's digital economy [6] - The company aims to collaborate with various sectors to promote data aggregation, explore new pathways for data assetization, and establish a robust data governance framework [6]