Group 1 - The core viewpoint of the news highlights the growth and development of the data industry in Hangzhou's Yuhang District, aiming to establish a national-level data industry cluster worth trillions within three years [2] - The Yuhang District has launched a three-year action plan (2025-2027) to promote high-quality development in the data industry, focusing on building a "National Data Industry Excellence Center" [2] - Key enterprises such as Alibaba, ByteDance, and Tonghuashun are central to the ecosystem, which includes over 10,000 specialized data companies covering the entire data industry chain [2] Group 2 - The CSI Big Data Industry Index (930902) has shown a positive performance, with a 0.99% increase as of June 9, 2025, and notable gains in constituent stocks like Yonyou Network and Chuangyue Huikang [1] - The Data ETF (516000) closely tracks the CSI Big Data Industry Index and has experienced a 3.95% increase over the past week, indicating strong market interest [1][3] - The index includes major companies involved in big data storage, analysis, and applications, such as iFlytek, Inspur, and Yonyou Network, reflecting the overall performance of listed companies in the big data sector [3]

Core Insights - The 2025 "Data Element ×" competition's Guangdong division has officially opened its registration, with a focus on various sectors including industrial manufacturing, modern agriculture, and financial services [1][2] - Zhuhai is actively promoting data element construction, including the establishment of a legal framework to support the development of a data economy [1][2] Group 1: Competition and Industry Development - The Guangdong division of the competition features 13 tracks, including technology innovation and green low-carbon initiatives, tailored to local industry advantages [1][2] - The release of the "Zhuhai Data Industry Map" marks the first comprehensive overview of the city's data industry, showcasing its current status and future potential [2][3] Group 2: Data Industry Structure - Zhuhai's data enterprises are categorized into six types: data resource, data technology, data application, data service, data security, and data infrastructure, with data application companies making up over 60% [2][3] - The city has six foundational advantages for data industry development, including an improving data governance system and expanding application scope [2][3] Group 3: Notable Companies and Innovations - Companies like Kingsoft and Zhuhai Ocean Development Group are leading the transition from process-driven to data-driven operations [3][6] - Zhuhai's cloud-based companies are focusing on modern agriculture data and AI ecosystems, with significant cost reductions and partnerships established [6][7] Group 4: Future Initiatives - The Zhuhai Data Element Industry Association aims to foster collaboration across the data industry, support digital transformation for SMEs, and establish standards for data lifecycle management [4][5] - The Zhuhai government plans to create a tailored support system for enterprises and explore data innovation application laboratories [7]

央视网消息：5月17日，记者从2025数据安全发展大会上获悉，我国将培育壮大一批数据要素产业链上下游企业，预计到2030年，我国数 据产业规模将达到7.5万亿元。 眼下，数据已超越传统生产要素，成为驱动人工智能技术突破与产业变革的核心动力。高质量数据集不仅是人工智能模型性能跃升的基 石，更重塑了从技术研发到商业落地的全产业链条。那高质量数据集是如何构建的？ 在浙江温州，作为全国数据要素市场化改革的"试验田"，这里构建了一套数据安全与合规体系，保障数据要素规模化流动，形成数据交易 生态圈，让更多数据"活了起来"。 技术人员告诉记者，构建大模型数据集主要包含数据采集、数据清洗、数据标注、质量评估等核心环节。各环节需要根据大模型数据集的 规模大、多样性足、行业垂直属性强等特点进行针对性的技术研发和适配。 数据标注与清洗是高质量数据集建设的关键环节。数据标注通过"贴标签"（如为照片标注"猫""狗"）教会人工智能"认知世界"，未经标注 的数据如同乱码教材，导致人工智能无法有效学习；数据清洗则通过剔除重复、修正错误等操作净化数据，混乱数据将直接影响人工智能训练 效果。 作为全球首个将数据纳入生产要素的国家，我国已初步构建 ...