张金瑞表示，根据行动方案，北京将重点提升高质量行业数据供给能力，支持企业加快开展工业数据采 集、汇聚、清洗、标注等工作，推动形成一批高质量工业数据集。鼓励企业用好人工智能数据沙盒制 度，给予"首用免费"支持政策，让工业数据参与模型训练，形成"供得出、流得动、用得好"的数据供给 能力。通过数据要素示范奖励政策，对工业数据"首登记""首入表""首交易""首开放"给予资金支持。 同时，重点提升行业大模型基础能力，培育头部行业大模型和通用智能体。支持企业开发部署行业大模 型，结合模型API调用量、服务企业数量、权威基准测试排名等指标，对具有行业推广性的大模型给予 最高不超过3000万元的算力补贴。支持构建高性能通用智能体，结合日活量、日均启用次数等指标，对 于具有行业推广性、显著提升制造业效率和优化生产管理的通用智能体，对其运营所产生的算力成本给 予最高不超过3000万元的算力补贴。 近期，《北京市人工智能赋能新型工业化行动方案(2025年)》出台，16条政策通过给予"首用免费"支持 政策与超千万元算力补贴等方式，重点解决人工智能赋能新型工业化的多方面问题。 7月18日，在2025年上半年北京市工业和信息软件业经济运 ...

Group 1 - The core viewpoint of the article highlights the importance of data quality and standardization in enhancing the efficiency and decision-making capabilities of the industrial system, particularly in the context of the industrial internet and artificial intelligence [2][3] - The China Academy of Information and Communications Technology (CAICT) has launched an industrial data quality improvement initiative, focusing on creating a standardized industrial data application environment and developing data standards across key sectors [3] - In the electronic manufacturing sector, the collaboration between CAICT and Huawei has led to significant improvements, such as reducing the time for abnormal analysis from 8 hours to 3 minutes and decreasing the product defect rate from 10% to 0.8% [2] Group 2 - In the machine tool manufacturing sector, CAICT and partners have established an industrial internet interoperable intelligent flexible pilot line, achieving a 25% increase in machining efficiency and enabling flexible, small-batch production [2] - The initiative includes the development of high-quality industry-level data sets and the establishment of a service system combining large models and specialized small models to enhance data collection and model service capabilities [3] - The industrial data quality improvement action will be implemented across various industries, including electronics, power, and machinery, to address the growing demand for standardized and high-quality industrial data [3]