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行业首家!“万得企业库”完成生成式人工智能服务登记
Wind万得· 2025-09-22 22:26
依托万得二十余年数据与技术积累,万得企业库推出 商业查询智能助手——万得企业库Alice, 将生成式 人工智能深度融入产品与服务:智能语义理解精准匹配查询需求,自然语言生成转化数据为易懂结论,企 业关系挖掘商业深层关联。相较传统查询方式,相应速度、内容针对性与风险预警能力显著提升,为企业 决策提供高效智能支持。 "网信上海"微信公众号近日发布《上海市生成式人工智能服务登记信息公告 (9月11日)》。根据公告显示,截至9月11日,上海市 新增9款 已完成登 记的生成式人工智能服务,上海万得征信作为登记单位," 万得企业库 "榜 上有名,成为国内商业信息查询领域率先获得此资质的平台,标志着万得征 信在AI合规应用与商业数据服务领域实现关键突破。 上海市生成式人工智能服务登记信息 | 序号 | 应用/功能 | 登记单位 | 上线编号 | 登记时间 | | --- | --- | --- | --- | --- | | 1 | 商汤大医 | 上海商汤善萃医疗科技有限公司 | Shanghai-ShangTangDaYi- | 2025/9/11 | | | | | 20250911S0106 | | | 2 | 万得 ...
海天瑞声现3笔大宗交易 总成交金额1102.10万元
Group 1 - The core point of the news is that Haitai Ruisheng experienced significant trading activity on September 22, with a total of 107,000 shares traded at a price of 103.00 yuan, which represents a discount of 17.65% compared to the closing price of the day [2][4] - In the last three months, Haitai Ruisheng has recorded a total of 31 block trades, amounting to 139 million yuan [3] - The stock closed at 125.08 yuan on the reporting day, reflecting a 3.47% increase, with a trading volume of 296 million yuan and a net inflow of 15.67 million yuan in main funds [3] Group 2 - The latest margin financing balance for Haitai Ruisheng is 320 million yuan, showing a decrease of 14.98 million yuan over the past five days, which is a decline of 4.47% [4] - The company was established on May 11, 2005, with a registered capital of 60.32518 million yuan [4]
零点有数9月19日获融资买入259.29万元,融资余额9202.63万元
Xin Lang Zheng Quan· 2025-09-22 01:28
Group 1 - The core point of the news is that Zero Point Data experienced a decline in stock price and trading volume, with a significant net financing outflow on September 19, 2023 [1] - As of September 19, 2023, the total financing and securities lending balance for Zero Point Data was 92.03 million yuan, which accounts for 2.91% of its market capitalization, indicating a high level of financing balance compared to the past year [1] - The company reported a financing buy-in of 2.59 million yuan and a financing repayment of 5.43 million yuan on the same day, resulting in a net financing outflow of 2.83 million yuan [1] Group 2 - As of June 30, 2023, Zero Point Data had 10,800 shareholders, an increase of 1.85% from the previous period, while the average circulating shares per person decreased by 1.80% to 6,638 shares [2] - For the first half of 2025, Zero Point Data achieved operating revenue of 88.97 million yuan, a year-on-year decrease of 11.97%, and a net profit attributable to shareholders of -38.04 million yuan, reflecting a year-on-year growth of 17.36% [2] - The company has distributed a total of 21.67 million yuan in dividends since its A-share listing, with no dividends paid in the last three years [3] Group 3 - As of June 30, 2023, the fourth largest circulating shareholder of Zero Point Data is Xin'ao Core Technology Mixed A (007484), holding 916,000 shares, which is an increase of 393,600 shares compared to the previous period [3]
青海省数据局副局长余应功:“数聚青海”,核心在“聚”
Core Insights - The first Qinghai Data Element Ecological Conference was held in Xining, marking a significant milestone in the vision of "Data Gathering in Qinghai, Connecting the Silk Road" [1] - Qinghai is recognized as a crucial ecological security barrier and clean energy base in China, as well as a key passage of the ancient Silk Road [1] Group 1: Data Element Development - Qinghai has established and is constructing 189,000 standard racks, a year-on-year increase of 38 times [2] - The computing power scale has surpassed 17,000 PFLOPS, accounting for 4.7% of the national total, with the highest annual growth rate in the country [2] - The province has achieved a 100% coverage rate of green finance for data center projects, with an average PUE of 1.18, significantly lower than the national average of 1.49 [2] Group 2: Strategic Initiatives - Qinghai aims to transform its clean energy advantages into computing power advantages, and then into institutional advantages for data elements, creating a model that is "non-replicable but can be promoted" [2] - Three initiatives proposed include building green computing infrastructure, cultivating data element application scenarios, and establishing a "Digital Silk Road" rule system [2][3] Group 3: Digital Silk Road - Qinghai is positioned as a key hub for constructing the "Digital Silk Road" in the northwest, leveraging its natural advantages [3] - The province plans to enhance cooperation with countries along the "Belt and Road" in areas such as smart logistics, digital trade, and cross-border data applications [3]
国家数据局局长刘烈宏:加快行业高质量数据集建设 加力投资数据产业
智通财经网· 2025-09-21 07:11
Core Insights - Data has become a fundamental resource and innovation engine for high-quality development in the manufacturing industry, serving as a key production factor throughout the entire process from R&D design to customer service [3] - High-quality data sets are likened to refined "high-octane fuel," significantly influencing the effectiveness and sustainability of AI applications in manufacturing [3] - There is a strong emphasis on increasing investment in data resources, with manufacturing companies urged to prioritize data development and utilization alongside technology R&D and equipment updates [3] Investment and Development - Companies are encouraged to invest in the entire data lifecycle, including collection, storage, computation, management, and utilization, to accelerate the construction of high-quality data sets [3] - The need to cultivate a market awareness for paying for quality data is highlighted, promoting a consensus similar to that of purchasing advanced equipment and high-end technology [3] - The goal is to create a robust ecosystem where data is effectively utilized, flows freely, and adds value while ensuring security [3] Competitive Landscape - There is a call to prevent and eliminate "involutionary" competition, with a focus on innovation and data-driven development, particularly for leading companies with strong digital capabilities [3]
中小企业如何利用玩美数据深度挖掘海外市场用户需求?
Sou Hu Cai Jing· 2025-09-20 06:15
Group 1 - Small and medium-sized enterprises (SMEs) face multiple challenges in understanding user demands in a competitive global market [3][4] - Wanmei Data provides global market data services that offer comprehensive insights into consumer purchasing intentions, cultural backgrounds, and consumption habits [3][4] - The global data collection service enables SMEs to monitor market dynamics in real-time, allowing for timely strategy adjustments [3][5] Group 2 - Accurate market insights from Wanmei Data help SMEs identify target users' preferences, consumption habits, and cultural differences, which are crucial for successful market entry [4][5] - The service includes brand monitoring and competitor analysis, allowing SMEs to evaluate and enhance their brand influence in overseas markets [4][5] - By integrating data from different regions, SMEs can make more targeted decisions, improving their adaptability in international markets and increasing market share [3][5]
广东拟依场景实行公共数据授权运营 赋能AI行业大模型
Core Viewpoint - Guangdong Province has released a draft for the "Public Data Resource Authorization Operation Management Measures," proposing a "unified implementation and scenario-based authorization" model for public data resource operations [1][2]. Group 1: Authorization Operation Model - The draft defines public data resource authorization operation as the activity where government entities authorize qualified operating institutions to manage and develop public data resources for market provision [2]. - The core model emphasizes "unified implementation and scenario-based authorization," where provincial institutions oversee the entire authorization process, selecting operators based on specific application scenarios [2][3]. - The "scenario-based authorization" model allows multiple operators to manage public data resources according to different scenarios, reflecting an open characteristic [2][5]. Group 2: Industry Focus and Data Utilization - The draft aims to empower the development of the artificial intelligence industry by focusing on key sectors such as healthcare, finance, energy, transportation, and manufacturing, promoting high-quality data aggregation and sharing [3]. - It encourages collaboration with national ministries and other provinces to legally acquire non-public data resources for multi-source data integration and utilization [3]. Group 3: Implementation and Management - To ensure the effective implementation of the authorization operation model, the draft proposes a provincial integrated public data resource authorization operation platform, connecting various data platforms for comprehensive management [3]. - The draft specifies that operating institutions cannot directly or indirectly participate in the re-development of public data products and services already delivered, with a maximum authorization period of five years [3]. Group 4: Local Adaptation and Coordination - Local governments in Guangdong, such as Guangzhou and Huizhou, have developed their own public data authorization operation management measures, each with unique approaches [4][5]. - The draft allows local governments to determine their own authorization operation models based on local conditions, facilitating flexibility and addressing systemic issues [5]. Group 5: Nationwide Context - As of September this year, at least 23 provinces in China have established public data resource authorization operation management measures, with many still in the public consultation phase [1][5]. - Approximately half of these provincial governments have adopted regional overall authorization as the primary model, while others combine overall and scenario-based authorizations [5].
调研速递|上海钢联接受投资者调研 透露多领域发展要点
Xin Lang Zheng Quan· 2025-09-19 11:48
Core Insights - The company held an online earnings briefing on September 19, 2025, where executives addressed investor concerns and discussed developments in data services, business growth, talent attraction, and market value management [1][2]. Data Services and Business Growth - As of June 30, 2025, the company had 2,827 personnel in its industrial data services sector, focusing on enhancing quality and standardization while integrating AI technology to meet user demands for commodity price research [3]. - The company plans to strengthen data quality and standardization, promote the integration of data with AI, and enhance operational efficiency through digital assistants in steel trading services [3]. Dividend and Investor Engagement - In 2024, the company repurchased shares totaling 49.628 million yuan, which were subsequently canceled, effectively acting as a cash dividend; for the first half of 2025, a cash dividend of 15.9361 million yuan is proposed [3]. Corporate Culture and Talent Attraction - The company emphasizes a core value system of "diligence, integrity, mutual benefit, and wisdom," establishing a profit-sharing mechanism and a training system to attract talent and support employee growth [3]. Business Expansion Strategy - The company aims to expand its industrial data services coverage and implement differentiated business strategies, leveraging advanced technology to enhance data processing capabilities and ensure service quality [3]. Market Value Management - The company has established a market value management system and is focused on enhancing core competitiveness through technological innovation, with no current plans for share repurchase [3]. Research and Development Investment - In the first half of 2025, the company invested over 50 million yuan in R&D, particularly in AI and big data, collaborating with universities to drive technological innovation [3]. Membership Growth - The industrial data services sector reported a total of 273,800 paid members in the first half of 2025, indicating growth in user engagement [3]. International Expansion - The company is establishing a presence in Southeast Asia, with Singapore as the operational hub and plans to set up a subsidiary in Vietnam to enhance local service offerings [3].
无锡数据产品“停车第一单”完成场内交易
Yang Zi Wan Bao Wang· 2025-09-19 08:58
Core Insights - The first parking data product transaction in Wuxi has been successfully completed, marking a significant milestone in data asset circulation in Jiangsu Province [1] - The transaction involved a parking behavior analysis service developed by Wuxi Urban Construction Development Group's subsidiary, which was sold to Tencent Cloud [1] Group 1: Transaction Details - The parking data product includes features such as parking flow trends, duration analysis, vehicle type distribution, and license plate distribution [1] - This product aims to provide precise analysis of parking behavior patterns, predict parking demand, and enhance personalized recommendations for various stakeholders including government departments and automotive companies [1] Group 2: Significance of the Transaction - The successful transaction signifies the transformation of data assets into economic benefits, achieving value realization and transaction closure [1] - It has profound implications for the preservation and appreciation of state-owned assets, optimization of corporate capital structure, and resource allocation [1] Group 3: Future Directions - Jiangsu Data Exchange will accelerate regional operations and enhance the supply of diversified and series data products [2] - The focus will be on high-value and specialized scenario exploration, fostering an integrated data industry ecosystem, and promoting digital empowerment and transformation [2]
[路演]上海钢联:将继续加大在人工智能和大数据技术领域的研发投入
Quan Jing Wang· 2025-09-19 08:28
Core Viewpoint - The company is focused on promoting the digital transformation of the bulk commodity industry through data services and steel trading services, expressing confidence in its future development [1] Group 1: Company Strategy - The company plans to enhance its industrial data service business by deepening services and integrating multidimensional data to provide high-value services, leveraging AI and its EBC products to expand applications in intelligent forecasting and business decision-making [1] - The company aims to accelerate its international layout and enhance its global influence through overseas subsidiaries [1] - The steel trading service will increase revenue by expanding consignment business transactions and extending the steel ecosystem services, including supply chain innovation products, warehousing logistics upgrades, and SaaS subscription services [1] Group 2: Technology and R&D - The company will continue to increase its investment in artificial intelligence and big data technology research and development to improve data processing and analysis capabilities [1] - The goal is to provide users with more accurate market forecasts, trend analysis, and intelligent decision support, thereby enhancing market recognition of the company's value and driving business growth [1] Group 3: Market Position - The company is recognized as a global leader in bulk commodity and related industry data services and operates a domestic trillion-level B2B steel trading smart service e-commerce platform [1]