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“2025政企数智化转型十大关键词”发布
Zhong Guo Xin Wen Wang· 2025-09-16 21:28
中新网北京9月16日电 (记者刘育英)在16日举行的"2025(第五届)数字化转型发展大会"上,中国信通院发 布"2025政企数智化转型十大关键词",企业级AI+、智能体应用、企业数据价值化等入选。 大会由中国通信标准化协会主办,中国信息通信研究院承办,中国通信企业协会支持,在北京召开。 栗蔚还表示,本次发布的"十大关键词"涵盖了政企推动数智化转型工作的诸多方面,一定程度上反映了 当下产业各方的关注重点和未来发展方向。 在企业级AI+方面,栗蔚认为,落实"AI+"行动已成为各行业企业实现生产力革命性跃迁、提升生产经 营能力、探索全新商业模式的重要举措。从企业级AI应用整体发展上看,当前,各行业企业在智能问 答、文本写作、智能巡检、代码生成等环节逐步实现"AI+场景"创新,驱动人工智能从领域应用迈向深 化进阶。(完) (文章来源:中国新闻网) 十大关键词分别是:"十五五"数字化规划、架构与流程治理、企业级AI+、企业数据价值化、信创生态 化攻坚、AI应用研发、智能体应用、政务数智治理、城市全域数字化转型、数智化成熟度。 中国信通院云计算与大数据研究所副所长栗蔚表示,当前,能源、通信、交通等行业诸多央企已通过建 ...
推进企业数据价值化进程 中国企业数据价值化高峰论坛在沪举办
Group 1 - The forum on data value realization aims to promote the discovery and management optimization of enterprise data assets, facilitating sustainable development in the digital era [1][2] - Three dimensions of data value realization were highlighted: transforming data into products, recognizing data as assets, and the process of "elementalization-assetization-capitalization" to amplify data value [1][2] - The Shanghai Data Exchange plays a leading role in the market, connecting various exchanges and financial markets to promote enterprise data value realization [2] Group 2 - A joint report titled "Research on Data Value Realization of Listed Companies (2025)" was released, establishing a comprehensive evaluation index system covering operational efficiency, application value, management system, and value-added potential [3] - The report aims to scientifically assess the data value realization level of listed companies and provide benchmark cases to showcase successful practices and outcomes [3] - The first "Data Value Realization Ranking of Listed Companies" was published, categorizing companies into those with and without data resources on their balance sheets, offering a systematic evaluation of the data value realization process [3][4] Group 3 - The data value realization ranking serves as a strategic guide for companies to upgrade their strategies and fulfill social responsibilities, promoting proactive data value demonstration [4] - It provides insights into the current state and gaps in digital transformation across industries, highlighting the "digital divide" and aiding in precise resource allocation and decision-making [4]
数据新价值·市场新生态 | 中国企业数据价值化高峰论坛在沪举办 苏乐平分享天空地一体化时空数据应用探索
Zheng Quan Ri Bao· 2025-06-20 14:11
Core Viewpoint - The forum highlighted the importance of data value realization in enterprises, focusing on the integration of space and ground data for various applications in different industries [1]. Group 1: Company Overview - Aerospace Hongtu is the first listed company in China's satellite remote sensing sector, developing the "Nuwa Constellation," a large hybrid remote sensing satellite constellation with radar capabilities, aiming to launch 114 satellites, of which 12 have been successfully deployed [3]. - The "Nuwa Constellation" provides all-weather, all-time Earth observation and has begun offering comprehensive imaging services for urban governance in Shanghai [3]. Group 2: Technological Developments - The company is building a drone remote sensing service system, developing various types of drones, including fixed-wing, compound-wing, and multi-rotor drones, along with a comprehensive regulatory platform and low-altitude grid big data platform [3]. - The integration of "space-ground" technology allows for the processing and analysis of satellite remote sensing data, drone data, and various ground IoT data, supporting digital China initiatives and urban management [3]. Group 3: Industry Applications - In the natural resources sector, remote sensing and drone technologies provide real-time, dynamic monitoring for land planning, urban governance, and ecological protection, covering the entire process of resource management [4]. - For marine and ecological monitoring, remote sensing data can accurately track coastline changes, wetland distribution, and island characteristics, aiding in pollution control and island protection [4]. - In emergency management, a comprehensive monitoring network is being developed to integrate multi-source spatiotemporal data, enabling intelligent analysis and disaster prediction, thus enhancing cross-departmental coordination [4]. Group 4: Future Aspirations - The company aims to accelerate the transformation of spatiotemporal data assets into value, promoting deep integration of industries and expanding the boundaries of remote sensing and AI, ultimately creating a low-threshold, high-value, and sustainable data ecosystem [5].