新京报讯（记者吴为）7月29日，2025中关村论坛系列活动——中关村人工智能与未来城市论坛在中关 村国家自主创新示范区展示中心举办。论坛上，应用范式创新升级成果、智能体产品、可信数据空间成 果等发布。 中科大脑发布智能体产品和可信数据空间产品。联合百度智能云、腾讯云、爱笔智能等生态伙伴共同打 造的21个智能体产品，涵盖城市治理、城市服务、公共安全、教育健康、政务办公五大类，基于海淀人 工智能创新街区和全国多地探索实践的积淀，是伴随城市发展演进的数智化新形态。可信数据空间产品 为数据要素安全高效流通提供了技术先进、合规可靠的基础支撑，作为标杆引领行业成长。 记者获悉，目前已有多项成果落地实践，国网北京海淀供电公司发布城市电力可信数据空间方案；海淀 区青龙桥街道办事处发布城市电力赋能基层治理场景。 此外，论坛围绕"人工智能+""数据要素X"生态共建，促进南北协同创新，形成了系列合作。数据集团 和北京邮电大学签约，共建校企联合实验室，关注智能技术与城市创新，合作研究与发布智能城市指标 体系，为人工智能创新街区提供智力支撑。中科大脑和江苏省规划设计集团签约，共同打造城市数智化 转型与城市更新的规划、建设、运营示范标杆 ...

Core Insights - The IDC report highlights the current challenges and scenarios in data space construction, predicting rapid growth in the urban data space market by 2025 due to government initiatives for data resource integration and sharing [1][2] Group 1: Data Space Market Analysis - Data space is defined as an operational model focusing on control capabilities, typically constructed by one or more entities based on business needs [1] - The report emphasizes that despite being in an exploratory phase, the urban data space market is expected to expand significantly by 2025 [1] Group 2: Company Initiatives - Inspur Cloud has actively explored various data space constructions, leveraging distributed intelligent cloud technology to create trusted data space products [1][3] - The company provides distributed data infrastructure services that support the entire lifecycle of data collection, calculation, and utilization, addressing security and trust issues among participants [1][2] Group 3: Case Studies - The Jinan Trusted Data Space, developed with the Jinan Big Data Bureau, integrates services like digital identity, privacy computing, and data authorization to enhance data utilization and drive digital transformation [2] - In the electricity sector, Inspur Cloud has built a trusted data space to manage the entire lifecycle of power data, facilitating intelligent operations and improving power supply-demand balance through advanced analytics [2] Group 4: Future Directions - The report suggests that technology providers should focus on privacy computing and gradually create a data industry ecosystem, leveraging large models within data spaces [3] - Inspur Cloud aims to accelerate the application of data elements and promote the widespread implementation of trusted data spaces through innovative models [3]

Group 1 - The government is accelerating the improvement of data infrastructure and deepening the development and utilization of data resources, with over 180 million business entities being the main battleground for the marketization and valuation of data elements [1] - Central enterprises are actively exploring data empowerment for industrial transformation and upgrading, setting benchmarks for the development and utilization of data resources [1] - China National Offshore Oil Corporation (CNOOC) is building a comprehensive marine perception system, leveraging over 340 offshore production facilities and 8,600 kilometers of underwater pipelines, utilizing advanced technologies for data transmission and emergency communication [1] Group 2 - Data accumulation is essential for value creation, while sharing and circulation are key to releasing value; however, issues such as reluctance and inability to share data remain prominent [2] - China Electronics Technology Group Corporation has developed a trusted data space product to support data sharing while ensuring security and traceability, reducing concerns among power companies regarding sensitive data [2] - Data is identified as a core driving force for the energy industry's transition from scale expansion to quality and efficiency, with significant advancements in predictive maintenance and operational diagnostics in the coal sector [2] Group 3 - The green low-carbon sector is broad, with applications of green data in asset management, sustainable disclosure, and financial services, exemplified by China Energy Conservation and Environmental Protection Group's initiatives in Hebei [3] - The National Data Bureau is collaborating with the State-owned Assets Supervision and Administration Commission to enhance data efficiency in state-owned enterprises, promoting data management innovation and digital transformation [3]

Summary of Conference Call Records Company Overview - The conference call discusses the performance and strategic direction of a company involved in digital solutions and data services, specifically focusing on its business segments and future plans. Key Points Financial Performance - The company reported a negative cash flow from operating activities of 207 million, an improvement from the previous year's negative cash flow of 555 million, representing a year-on-year increase of 62.64% [1] - The company achieved a positive operating profit for the year despite significant declines in certain areas, with a notable increase in revenue and profit in the fourth quarter compared to previous quarters [1] - The gross margin reached 24.8%, indicating a slight overall increase [2] Business Segments - The homestay business experienced a year-on-year growth of 11.36%, attributed to successful expansions in locations like Beijing and Hainan, where the business model is mature and stable [1] - The company is focusing on three engines for future growth: trustworthiness, data, and intelligence, which are essential for driving its digital services [4][5] Strategic Direction - The company is undergoing a strategic transformation to enhance its digital solutions and data services, emphasizing the importance of a trustworthy digital foundation and the integration of data as a new production factor [5][6] - The company aims to build a "trusted digital foundation" to support the national digital economy, which includes developing a credible data space and public service platforms [6][7] - The strategic focus includes creating specialized data services tailored to industry needs and optimizing digital infrastructure [8][19] Organizational Changes - The company is restructuring its organizational framework to better align with its strategic goals, including the establishment of new business groups focused on data elements and regional operations [18][19] - The restructuring aims to enhance operational efficiency and improve financial metrics such as revenue and profit margins [20][21] Market Trends and Innovations - The company recognizes the growing importance of artificial intelligence (AI) and is developing capabilities to integrate AI into its services, focusing on creating digital employees and enhancing service delivery through intelligent applications [14][30] - The company is also exploring the development of proprietary AI models and enhancing its data processing capabilities to support various industry applications [32][33] Challenges and Future Outlook - The company acknowledges external challenges, including market conditions and regulatory environments, but remains optimistic about its growth trajectory due to a solid backlog of contracts valued at approximately 10.8 billion [27] - The company plans to continue investing in research and development, particularly in AI and database technologies, to maintain its competitive edge [54][55] Additional Insights - The company is committed to enhancing its public service platform and exploring new business models that leverage data and AI to create value across various sectors [11][12] - The focus on high-quality industry data is seen as crucial for developing specialized AI models that can address specific business needs [55][56] This summary encapsulates the key insights and strategic directions discussed during the conference call, highlighting the company's financial performance, business segments, organizational changes, market trends, and future outlook.

Group 1 - The core viewpoint of the news is the importance of data resource development and utilization in enhancing enterprise competitiveness and driving the digital economy in China [1] - China Telecom is leveraging its vast multi-source data advantages to innovate in data elementization and value realization, contributing to green low-carbon applications and achieving significant cost savings and carbon reduction [2][4] - The company has established a "Star Sea Big Data" service system to release telecom data value across various industries, including finance, culture, and government [4][9] Group 2 - China Telecom has provided big data SMS reminder services to over 300 government and enterprise users, enhancing public service efficiency [6] - The company has developed a comprehensive data element service capability system, achieving significant improvements in data processing efficiency and AI-assisted labeling [7] - In the area of data circulation, China Telecom has introduced technologies such as trusted computing and blockchain, which have been recognized with awards for their advancements [8] Group 3 - China Telecom has supported over 150 government and enterprise users with its self-developed data resource development and utilization platform, improving data processing efficiency by 30% for clients like China Aneng Group [9] - The company has integrated various data types to build big data platforms for multiple sectors, enhancing public service effectiveness and emergency response capabilities [9] - Future plans include further promoting efficient data circulation and value release to foster the integration of the digital economy and the real economy [9] Group 4 - China Electronics Technology Group (CETC) emphasizes the role of data as a new production factor, driving technological innovation and enhancing productivity [10] - CETC has developed a trusted data space product to facilitate data sharing and utilization, addressing common issues in data circulation [11] - The company is advancing core technology innovations in the data field, integrating AI with high-quality data resources to create a "data flywheel" effect [12] Group 5 - CETC has created over 500 task models across various industries, demonstrating the multiplier effect of data elements in driving industry transformation and innovation [12] - In the energy sector, CETC has developed rapid coal quality detection technology, significantly improving detection efficiency and accuracy [13]