11月28日，以"AI引领·智建未来"为主题的"川渝建筑产业数智化发展大会"在成都召开。大会汇聚川渝 两地行业协会领导、院士、专家、龙头企业高层、相关机构负责人与高校代表等400余名嘉宾，旨在探 讨人工智能等新一代信息技术在建筑领域的应用与实践，共同推动川渝地区建筑产业数智化转型与高质 量发展。 活动现场。一智科技供图 一智科技(成都)有限公司创始人刘勇刚出席本次大会主论坛，并发表题为《建筑产业互联网的基因密 码》的主旨演讲。他强调，构建行业"可信数据空间"是打造建筑产业互联网的"基因密码"，并深入阐述 一智科技如何运用"知识引擎、合约引擎、图纸引擎"三大引擎，打造激活行业内生动力的核心密钥。 展台吸引与会者驻足观摩。一智科技供图 构建可信数据空间，AI技术是核心引擎。在"AI驱动智能建造与项目管理创新"分论坛上，一智科技CEO 文凌现场分享《多专家模型：以可信数据空间构建建筑业智改数转新范式》专题报告，详细阐述安心筑 如何通过业务场景层、可信数据层、专家模型层和生态应用层"四层结构"推动互联网产品创新，展现安 心筑在AI赋能行业变革方面的前瞻布局与实践成果。 截至目前，一智科技已累计获得50余项国家发明专利 ...

11月25日，国家数据局举办"数据价值化我们在行动"系列新闻发布会第三场。 国家数据局副局长陈荣辉表示，今年7月，国家数据局会同国务院国资委组织实施国有企业数据效能提 升行动，并于近期启动国有企业数据资源开发利用试点工作，明确12家中央企业为首批试点牵头单位。 进一步增强数据治理能力 "这一实践让我们深刻认识到，只有打破数据壁垒，才能释放其最大价值。"李鹏说。目前，南方电网已 形成涵盖设备运行、电力系统、用户用电等三大类数据的开放体系，为跨行业融合应用奠定基础。 针对数据共享难、互信难问题，南方电网于2024年8月率先启动南方能源行业可信数据空间建设。李鹏 介绍："该空间融合区块链、隐私计算等技术，实现数据'可用不可见、可控可计量'，打造了一个合规 可信的流通生态。" 据了解，提升行动聚焦能源电力、交通物流、矿产资源、装备制造、卫星遥感、新材料、农业、建筑建 材、绿色低碳等重点领域，推动国有企业联合产业链上下游伙伴，在可信数据空间构建、数据资源开放 共享、数据产品与服务协同创新、人工智能创新应用等方面开展深度合作。 陈荣辉称，通过系列举措，预计到2027年，将进一步增强国有企业数据治理能力，显著提高数据资源开 ...

新华财经上海11月26日电（记者胡洁菲）记者日前从2025全球数商大会上获悉，国内首款医企医疗数据 产品《炎症与牙髓炎的关联与研究大数据分析报告》（挂牌编号：1576953601-YLIIHB5601）已于近日 在上海数据交易所挂牌，完成实际交易，这标志着我国医疗数据要素市场化配置迈出实质性步伐。 据悉，该数据产品基于许昌市中心医院真实临床诊疗场景中脱敏处理的炎症与牙髓炎早筛相关数据，涵 盖影像、病理、基因检测与随访等多维度信息，由上海奥普数创生物有限公司对其进行标准化清洗、结 构化处理与质量评估，构建形成高价值、可流通的数据资产；由上海芯超数据科技有限公司作为需方完 成采购，将用于炎症与牙髓炎模型训练与精准医疗产品开发。 "这不仅是一次简单的数据买卖，更是医疗数据作为新型生产要素实现确权、定价、流通和收益分配的 完整闭环。"上海数据交易所重大疾病数据行业中心副主任朱春荣表示，该产品挂牌标志着医疗数据 从"资源"向"资产"的转化取得突破。 许昌市中心医院党委书记连松涛说，此次挂牌是医院推进数字化转型、实现数据资产化管理的重要里程 碑。医院将以此为契机，持续完善数据治理体系，进一步构建相关的垂类小模型，赋能基层 ...

李哲梁表示："建设上海市出行服务可信数据生态，既是上海交通行业积极响应国家《可信数据空间发展行动计划（2024-2028年）》的重要部署；也是我们 加快交通行业数字化转型、推动公共交通优先发展、提升超大城市交通治理现代化水平，以及促进交通出行数据要素市场化配置改革的关键抓手。" 11月25日，第五届全球数商大会在上海开幕。作为大会重要组成部分，由上海随申行智慧交通科技有限公司主办的，以"数聚出行，可信未来"为主题的分论 坛同期举行。 上证报中国证券网讯（记者 俞立严）11月25日，第五届全球数商大会在上海开幕。作为大会重要组成部分，由上海随申行智慧交通科技有限公司主办的， 以"数聚出行，可信未来"为主题的分论坛同期举行。论坛现场，在上海市交通委总工程师李哲梁、市数据局总工程师刘迎风、上汽集团副总裁吴冰的见证 下，上海数据集团有限公司首席数据官沈可携手上海随申行智慧交通科技有限公司总经理唐韶，共同发布上海市出行服务可信数据生态。这也是全国首个聚 焦交通出行领域的行业数据空间，为智慧交通的建设与发展树立了重要的示范标杆。 上海市出行服务可信数据生态是在上海市数据局、市交通委指导下，由上海市"出行即服务"（MaaS ...

简单来说，可以将其比作一个高度安全的"数据协作俱乐部"或"数据共享保险库"。在这个"空间"里，数 据本身不搬家，只是"使用权"在授权下安全流转。政府部门和企业将数据"存入"空间后，可自主设定数 据的使用范围、对象和时限。其所有数据的访问、交换与使用记录均通过加密方式存证，不可篡改，以 确保数据流通的合规与安全。 "这解决了数据共享的两大核心痛点，一个是怕数据泄露，不愿共享；一个是怕权益受损，不敢共 享。"郑州空港数字城市开发建设有限公司副总经理魏文普介绍，可信数据空间的上线，实现了数据价 值的挖掘，又确保了数据本身不泄露、不失控，对数据要素市场化配置具有重要意义。 平台建好，更要用起来。活动现场，空港数字城市与中电（郑州）数据产业有限公司、浙江蚂蚁密算科 技有限公司等6家企业现场签约，涉及个人信用、健康医疗、金融风控等多个领域的数据应用场景。 同样的个人信息，办不同业务时要重复提交；各个部门的数据像一个个孤岛，难以形成合力……如今， 这些制约数字经济发展的难题，在郑州航空港经济综合实验区被破局。11月20日，我省首个城市级可信 数据空间在河南空港智算中心正式上线。 "这不仅是河南深入推进数据要素市场化配置改革 ...

Core Insights - The Ministry of Industry and Information Technology has issued the "Guidelines for the Construction of High-Standard Digital Parks," aiming to establish around 200 high-standard digital parks by 2027 [2] Group 1: Goals and Objectives - By 2027, the goal is to achieve full coverage of digital transformation for industrial enterprises in the parks, with a digital infrastructure that significantly enhances management and service levels [2] - The guidelines emphasize the importance of achieving 100% coverage of digital transformation for industrial enterprises and a 100% dual-gigabit network coverage [2] Group 2: Data Utilization and Innovation - The guidelines propose the construction of a unified digital platform for data collection, cleaning, and labeling, aiming to create high-quality datasets for the parks [3] - There is a focus on building a trusted data space to overcome barriers to data sharing and enhance the application of "Artificial Intelligence + Trusted Data Space" [3] Group 3: Intelligent Manufacturing - The guidelines encourage the exploration of "Artificial Intelligence + Manufacturing" applications, supporting the construction of smart factories and the large-scale deployment of industrial robots [4] - The aim is to establish benchmarks for digital transformation in enterprises and enhance overall productivity through the integration of new-generation information technology [4] Group 4: Infrastructure Optimization - The guidelines call for the optimization of computing power infrastructure, including the integration of various computing applications such as general computing, intelligent computing, and supercomputing [5] - There is a push for upgrading network infrastructure to support advanced technologies like 5G-A and high-speed optical networks, ensuring efficient utilization of computing resources [5]

近日，中国人民银行正式公布2024年度金融科技发展奖(以下简称"金发奖")获奖名单，江西银行联合中国人民银行江西省分行共同申报的《基 于可信空间的区域金融机构信息交互新模式》凭借突出的技术创新性与实践价值，荣获三等奖。这是江西银行在金发奖中获得的首个软科学类 奖项，实现江西银行在软科学理论研究领域从无到有的突破，同时也是2024年度江西省唯一获奖项目，标志着江西银行在区域金融数字化协同 创新领域的探索获得监管机构权威认可。 (责任编辑：张紫祎) | | | 2024年度立微科仅久做关状关坝口有半 | | | | --- | --- | --- | --- | --- | | 序号 | 项目名称 | 宽成单位 | 主要完成人 | 拟获奖等级 | | 163 | 智能客服及运程银行系统 | 甘肃省农村信用社联合社 | 朱国亮,周君、张瑜,陈忠旺、牛宠,赵颖、杨志国、王旭堂、张巨涛,刘发宗、马俊君 | 三等奖 | | 164 | 具备扫码支付能力的硬钱包侧新与应用 | 中国人民银行数字货币研究所, 中国银行股份有限公司, 招商银行股份有限公司, | 穆长春,狄刚、吕远、崔沛东、陈松、彭英玲、刘刚、陈杏峰、赵昕鹏,马 ...

Core Insights - The integration of energy and digital revolutions is driving the development of new energy vehicles (NEVs) in China, emphasizing carbon reduction and the use of clean energy [1] - The charging infrastructure in China is advancing in parallel with the growth of NEVs, with a projected ratio of 2.45:1 for NEVs to charging stations by September 2025 [1] - A comprehensive charging and battery swapping service ecosystem has been established to support the large-scale application of NEVs [1] Policy Support - A robust policy framework has been established, with central guidance and local implementation across various scenarios such as residential areas and highways [2] Standardization - A well-developed charging and battery swapping standard system is in place, facilitating the large-scale application of technologies like smart charging and V2G [2] Data Resource Management - Efficient data circulation is achieved through an open data interface among platforms, promoting data sharing across operators and maximizing the value of industry data [2] Quality of Charging Equipment - Charging stations are now included in the 3C quality inspection system, which began accepting testing and certification on March 1 [2] Intelligent Operation and Maintenance - The use of AI and big data algorithms is enhancing operational efficiency and reducing costs in charging services [2] Innovation in Technology and Business Models - The National Energy Administration has initiated pilot projects for vehicle-grid interaction, promoting innovative charging solutions and expanding application scenarios [2] Industry Development Goals - The charging alliance aims to support national policies, enhance service quality, accelerate technological innovation, and expand international cooperation [3][4][5]

Core Viewpoint - The integration of AI in the financial sector is transforming traditional business models, with a focus on a "pay-for-performance" approach that aligns AI applications with actual business outcomes [7][8][9]. Group 1: AI in Financial Services - AI is becoming a crucial tool for enhancing core competitiveness and reshaping service systems in the financial industry [7]. - The "pay-for-performance" model allows clients to pay based on the actual results achieved through AI applications, rather than traditional project-based or subscription models [8][9]. - Ant Group's AI capabilities are shifting from a tool delivery model to a business outcome-oriented approach, emphasizing collaboration with financial institutions to achieve measurable results [9]. Group 2: Market Demand and Client Needs - There is a significant demand from small and medium-sized financial institutions for solutions that address business growth and asset quality improvement [9]. - Many financial institutions are eager to explore AI applications, with regional banks making up two-thirds of Ant Group's current partnerships [9]. - The primary needs of financial institutions include solving business growth challenges, ensuring business security, and enhancing user experience [10]. Group 3: Data and AI Integration - The construction of a trusted data space is increasingly intertwined with AI applications, providing essential data governance and support for AI model training [10][11]. - The integration of AI and trusted data spaces is accelerating, with both areas overlapping in infrastructure development, such as computing centers and data platforms [11]. - High-quality, standardized data is critical for AI development, and trusted data spaces are key to ensuring data governance and reliability [11].

Financial Performance - In the first three quarters of 2025, the company's revenue was 12.02 billion yuan, a year-on-year decrease of 24.01% [3] - R&D expenses decreased by 15.05%, sales expenses decreased by 6.48%, and management expenses decreased by 17.23% [3] - The net profit attributable to shareholders was -2.35 billion yuan, a decline of 39.10% year-on-year [3] - In Q3 2025, revenue was 3.76 billion yuan, down 46.96% year-on-year, with net profit at -1.71 billion yuan, a decrease of 568.00% compared to the same period last year [3] Project and Order Status - Q3 revenue decline was primarily due to slower project progress compared to the same period in 2024 [3] - The total number of signed and pending orders remained stable year-on-year, indicating a potential for recovery [3] - Key industries such as telecommunications and transportation showed revenue growth of 13.14% and 18.73% respectively [3] Cost Management - Total expenses in the first three quarters of 2025 were 12.14 billion yuan, a decrease of 11.13% year-on-year [4] - The company has effectively controlled costs, with a reduction in total expenses compared to previous years [4] Industry Trends and Opportunities - The network security industry is expected to see significant growth driven by new policies and AI technologies [15] - The Chinese network security market is projected to reach $17.8 billion by 2029, with a compound annual growth rate of 9.7% [15] - Key government projects in various sectors are expected to drive demand for security solutions, with budgets ranging from 300 million yuan to 288 billion yuan across different initiatives [4][5][6] Product Development and Innovation - The company’s "Smart Cloud" product line generated 1.29 billion yuan in revenue, accounting for 10.73% of total revenue, with a year-on-year increase of 7.59% [3] - The gross margin improved to 63.62% in the first three quarters of 2025, up from 61.04% in 2024 [3] - The company is focusing on AI-enabled security solutions, with significant investments in quantum security and data protection technologies [18][19] Future Outlook - The company anticipates a recovery in revenue and profitability, with expectations to meet performance targets for employee stock ownership plans [14] - The "14th Five-Year Plan" is expected to create substantial market opportunities in data security and AI applications [13] - The company is actively pursuing strategic partnerships to enhance its capabilities in quantum security and AI-driven solutions [18][19]