长沙数字集团微信公众号 汇聚全市66个委办局200余亿条公共数据，开发上架73个数据产品，推动金融、医疗、人才服务等23个 场景产品价值变现；高质效推进41个统筹集约数字化项目，预估总投资4.72亿元，累计节约财政资金 1.48亿元；汇聚70余家战略伙伴、超100家"数字星×"生态伙伴成数据生态联盟，催生新的商业机遇…… 这是长沙数字集团有限公司揭牌成立一年多交出的"成绩单"。作为长沙市委、市政府布局数字经济 的"先手棋"，这家市属国企正通过创新实践，冲破数据要素市场化改革深水区，为"数字长沙"建设提供 核心引擎，全力打造可复制、可推广的"长沙模式"。 何以成为"数字长沙"核心引擎 聚势：布局数据市场，激活潜在价值 省委常委、市委书记吴桂英指出，要赋能产业发展，让数据活起来，围绕数字经济和实体经济深度融 合，持续推进产业数字化、数字产业化，不断激活数据要素新潜能，打造数字经济新优势。 2024年7月26日，长沙数字集团有限公司正式揭牌，标志着长沙数字经济战略从"业务数字化"迈入运 营"数据要素"的新阶段。 作为全市数据要素市场化改革的核心力量，集团担任着组织、运营和生态构建的关键角色，旗下汇聚数 科集团、人才 ...

城市可信数据空间行业丨研究报告 核心摘要： 城市可信数据空间是可信数据空间中以政府为主导建设的数据基础设施，促进城市数据资源开发利用的关键 载体。本报告从城市可信数据空间的发展驱动因素和核心价值出发，对其总体架构、核心能力、产业链及竞 争格局进行系统性分析，并以当前落地较为成熟的政务服务、普惠金融场景为例进行案例研究，致力于为行 业玩家及政府机构提供有价值的参考。 城市可信数据空间概念界定 由政府主导、多方协作共建的城市数据基础设施，保障数据可信、安全、合规地流通 利用 在城市化发展与数字化转型的背景下，数据已成为城市治理体系中的核心资源。城市可信数据空间 是可信数据空间中以政府为主导建设的数据基础设施，促进城市数据资源开发利用的关键载体。城 市可信数据空间作为联通数据供给与数据应用的桥梁，一方面将整合分散在各领域的城市维度的数 据资源，为数据提供可信、安全、合规流通利用的通道，支撑城市规划、建设、管理和服务，另一 方面通过为行业、企业的数据可信流通，为产业发展赋能。 基于数据要素市场化改革的主线，鼓励城市建设可信流通的基础设施 自 2019 年首次提出培育数据要素市场以来，中国围绕数据要素市场化配置出台了一 ...

传统架构与新型威胁的脱节：面对 AI 驱动的自动化攻击（如批量社工破解、动态 Payload 生成），依 赖人工运营的传统安全体系误报率超 40%，响应滞后达小时级。 随着 5G 基站数量突破 374.8 万个、工业互联网标识解析节点覆盖全行业，运营商作为数据要素流通的 核心枢纽，既要应对 "日均数十亿条数据交互" 带来的防护压力，又要满足《数据流通安全治理实施方 案》中 "安全与利用并重" 的要求。在此背景下，数据安全厂商已从 "合规工具提供商" 转型为 "价值释 放赋能者"，形成以 AI 原生能力为核心、场景化落地为抓手的创新格局。本文基于行业实践与技术演 进，拆解创新厂商的核心能力与发展逻辑。 一、行业痛点：运营商数据安全的三重结构性矛盾 运营商的数据安全需求已超越传统 "防泄露、防篡改" 范畴，呈现出深度融合业务的复杂特征，其核心 矛盾集中在三方面： 合规与效率的失衡：需同时满足《数据安全法》分级分类要求与 5G 切片、边缘计算等业务的低延迟需 求，传统静态防护方案导致 "安全合规则业务卡顿，效率优先则合规失守"。 保护与利用的冲突：用户通信记录、位置轨迹等敏感数据既是核心资产，又是数据要素交易的关键 ...

Core Viewpoint - The Shandong Provincial Government is leveraging the "Data Element ×" initiative to enhance the development and utilization of data resources, aiming to create an innovative service system for data elements and improve the effectiveness of market-oriented reforms in data allocation [2]. Group 1: Regulatory Framework - Shandong is accelerating the legislative process for the "Shandong Provincial Data Regulations" and has introduced several management guidelines, including the "Public Data Resource Registration Management Norms" and "Data Trading Norms," establishing 283 data standards to ensure legal and systematic data utilization [2][3]. Group 2: Data Utilization and Infrastructure - The province is focusing on enhancing data production capabilities through integrated digital government reforms, establishing a unified foundational information platform, and creating a comprehensive big data platform system, which has facilitated over 52 billion data sharing instances and opened 48 billion data records [2][3]. - Shandong has developed over 90 high-quality datasets in sectors like industrial manufacturing and transportation, promoting the use of public data through 141 authorized operational scenarios [2][3]. Group 3: Data Circulation and Market Development - The province is promoting data circulation by organizing events like the "Data Market Construction and Supply-Demand Matching" and has launched the "Data Market," resulting in the listing of over 1,900 data products from local data trading companies [3]. Group 4: Industry Empowerment - Shandong is utilizing its geographical advantages and marine resources to develop marine data, accumulating over 50 petabytes of high-quality marine data, which constitutes 25% of the national total, and has established a marine big data trading service platform [3]. - The application of data in marine fisheries and disaster prevention has led to significant improvements, such as a 50% increase in monitoring efficiency and a 19% rise in output per unit sea area [3]. Group 5: Talent Development - The province has implemented measures to accelerate the cultivation of digital talent, including 51 advanced training sessions for over 1,500 high-level digital professionals, and has introduced chief data officer roles in government and chief data engineer roles in enterprises [4]. Group 6: Future Directions - Shandong will continue to focus on market-oriented reforms in data element allocation to stimulate strong data-driven momentum, contributing to the modernization efforts in China [5].

Core Viewpoint - The event focused on building communication bridges and sharing data value, aiming to empower local development and promote industry evolution through data collaboration [1][3]. Group 1: Event Highlights - The event showcased three main highlights: the latest achievements of multi-field ecological partners, the formation of a "government-industry-academia-research expert group" to assist in product optimization, and the establishment of a long-term cooperation mechanism [3]. - The event emphasized that the data ecosystem is not a "solo performance" but a collaborative system, aiming to promote the prosperity and development of the data factor ecosystem [3]. Group 2: Regional Development - Wang Caibo, a member of the Standing Committee of the Yibin City Nanxi District, shared the district's experience in promoting industrial digitization and digital industrialization, highlighting significant achievements in deep application scenarios, solid manufacturing foundations, and talent team building [3]. - The district has released an opportunity list for 2025, unveiling eight major investment attraction projects to help enterprises share the dividends of digital economic development [3]. Group 3: Data Ecosystem Development - Liu Wenzhong, Deputy General Manager and Chief Technology Officer of People's Data, discussed the exploration of building a credible data ecosystem, focusing on creating a win-win ecosystem based on AI and data value [4]. - The event featured various government and enterprise units showcasing their latest technologies and solutions in data services, AI, and smart governance, aiming to enhance the quality and profitability of data products [4]. Group 4: Standardization and Governance - The national data standardization work is progressing steadily, with the establishment of the National Data Standardization Technical Committee planned for October 2024, which will oversee the formulation and revision of standards across various fields [4]. - The comprehensive data security solutions presented by various companies aim to promote the credible circulation and value release of data elements [6]. Group 5: Innovative Solutions - The "Gongxiangji Urban-Rural Agricultural Digital Platform" was introduced, which integrates a five-level data control system to enhance rural supply efficiency and service quality [5]. - Companies like Beijing Aoxing Beisi Technology and Shanghai Yunbao Shuying Data are developing integrated platforms to facilitate data compliance and circulation across multiple industries [6][7]. Group 6: Future Plans - The "People's Data Ecological Service 2025 Special Plan" was officially released, focusing on four core directions: value co-creation, supply-demand matching, talent foundation building, and ensuring data security and trustworthiness [7]. - The event will continue as a series, establishing a normalized mechanism for linking supply and demand in the data factor field to support data ecosystem construction [7].

Core Viewpoint - The strategic partnership between Dian Diagnostics and Hangzhou Data Group aims to establish a trusted data space in Hangzhou, focusing on the efficient circulation of data elements and promoting high-quality development of the regional digital economy [1][2]. Group 1: Strategic Collaboration - Dian Diagnostics signed a strategic cooperation agreement with Hangzhou Data Group to co-build a trusted data space infrastructure in Hangzhou [1]. - The collaboration will leverage Dian Diagnostics' extensive medical testing data to create a compliant trading platform for medical data elements [2]. - The partnership aims to develop high-quality medical data sets and AI medical products, enhancing public health monitoring services for government departments [2]. Group 2: Data Utilization and Innovation - Dian Diagnostics plans to transition from a data provider to a data operator and service enabler, creating a closed-loop ecosystem of "data-service-application" [3]. - The company will enhance AI model optimization in areas such as auxiliary diagnosis and health management through deep operation of medical data assets [3]. - The initiative aims to integrate medical data with digital technology and public services, contributing to Hangzhou's goal of becoming a "digital health capital" [3].

Core Viewpoint - The launch of the "Marine Resource Environment Trusted Data Space" aims to unlock the value of dormant marine data and support the high-quality development of the marine economy [1][2] Group 1: Project Overview - The project is the first trusted data space in the marine sector in China, designed to address challenges in data aggregation, trust, and utilization [1] - It is led by the Provincial Marine Economy Department in collaboration with local government and companies, and was selected as a national innovation development pilot in July [1] Group 2: Data and Applications - The trusted data space has aggregated 167 categories and over 2,000 datasets, totaling 1PB of data [2] - Two high-quality datasets have been successfully applied in scenarios such as port docking and offshore wind power operations, enabling secure data circulation and customized services [2] - The datasets include a "High-Quality Data Set for Port Shipping Assurance" and a "High-Quality Data Set for Offshore Wind Power Site Selection and Construction Assurance," providing precise forecasts and analyses for maritime operations [1][2]

Group 1 - The fourth Global Digital Trade Expo opened in Hangzhou, showcasing the launch of the Trusted Data Space for Marine Resource and Environment Industry, aimed at addressing challenges in marine data aggregation, trust, and utilization [1] - The Trusted Data Space aims to create a national marine data resource aggregation center, a trusted circulation center, and a value co-creation center, focusing on efficient data aggregation, high-quality product development, and high-value application scenarios [2] - The space has aggregated over 2,000 datasets across 167 categories, totaling 1PB of data, and offers full-process services including an "independent space" for data listing and a "data processing factory" [2] Group 2 - The space adheres to national standards for trusted data space construction and has passed interconnectivity testing, utilizing a framework that ensures data security through various technologies including blockchain [3] - An "ecological mall" has been established within the space, attracting over 50 entities from various sectors, aiming to create a networked ecosystem for marine digital data [3] - The initiative seeks to link over 1,000 stakeholders in the marine data supply and demand chain within two years, promoting a new paradigm for high-quality development in the marine economy [4]

Core Insights - CloudWalk Technology's "Congrong Large Model Intelligent Integration Machine" was awarded as one of the "Top Ten Benchmark Cases" in the AI Infra category at the 2025 AI Industry and Empowering New Industrialization Conference hosted by the China Academy of Information and Communications Technology [1] - The integration machine is built on the Ascend AI foundational software and hardware platform, combining CloudWalk's multimodal large model with various language models and toolchains, providing a comprehensive solution from computing power to model training and industry applications [1] - The core competitiveness of the integration machine lies in the dual-drive of "AI Infrastructure + AI Multimodal Intelligent Agents," enabling flexible adaptation to complex scenarios in various industries such as digital government, transportation, finance, and manufacturing [1] Performance and Application - In practical applications at the Wuhan National Cybersecurity Base, the integration machine demonstrated significant performance improvements by optimizing resource allocation and inference acceleration, providing replicable experiences for intelligent transformation in other industries [2] - The machine incorporates an innovative "Trusted Data Space" concept, ensuring data security and privacy during training and inference, making it suitable for industries with high data security requirements such as finance, government, and healthcare [2] - CloudWalk has partnered with various organizations, including the National Cybersecurity Base, Tianjin Port Group, China Telecom, and State Grid Shandong, to achieve large-scale applications in smart cybersecurity, smart ports, intelligent manufacturing, and intelligent customer service [2] Case Study - The deployment of PortGPT, the world's first port large model at Tianjin Port, significantly improved cargo scheduling efficiency, enabling intelligent optimization of logistics paths and simplifying the port handover meeting process through the digital assistant "TianTian," establishing a benchmark case for smart port construction [2]

Core Insights - Ant Group's Ant Data Science officially launched FAIR Trusted Data Space 4.0 at the Yunqi Conference, integrating native AI capabilities for data development, operation, analysis, and flow [1][3] Group 1: FAIR 4.0 Features - FAIR 4.0 enhances data infrastructure capabilities, integrating privacy computing, blockchain, and data sandbox technologies to ensure efficient data resource communication under compliance and security [3] - The platform upgrades its multi-modal data processing capabilities, simplifying the integration of various data types such as relational databases, images, text, audio, and video into unified services [3] - A highlight of FAIR 4.0 is the Data Agent, which can understand natural language commands and perform complex data processing and deep analysis, significantly improving data analysis efficiency [3] Group 2: Strategic Goals and Collaborations - The design goal of FAIR 4.0 is to release data value without professional barriers, integrating native AI deeply with data spaces to enhance understanding and value extraction throughout the data lifecycle [5] - Ant Group is actively promoting the application ecosystem and operational capabilities of FAIR 4.0, with implementations in four key areas: new energy, automotive, cross-border trade, and credit [5] - On the launch day, Ant Group signed cooperation agreements with various companies to establish trusted data spaces, aiming to innovate data element application scenarios through collaborative operations [5]