VASTDATA(603138)
Search documents
海量数据(603138) - 海量数据关于召开2025年第一次临时股东大会的通知
2025-06-26 09:45
关于召开2025年第一次临时股东大会的通知 本公司董事会及全体董事保证本公告内容不存在任何虚假记载、误导性陈述 或者重大遗漏,并对其内容的真实性、准确性和完整性承担法律责任。 重要内容提示: 股东大会召开日期:2025年7月14日 本次股东大会采用的网络投票系统:上海证券交易所股东大会网络投票 系统 一、召开会议的基本情况 证券代码:603138 证券简称:海量数据 公告编号:2025-036 北京海量数据技术股份有限公司 (一)股东大会类型和届次 2025年第一次临时股东大会 (二)股东大会召集人:董事会 (三)投票方式:本次股东大会所采用的表决方式是现场投票和网络投票相结 合的方式 (四)现场会议召开的日期、时间和地点 召开的日期时间:2025 年 7 月 14 日 14 点 00 分 召开地点:北京市海淀区学院路 30 号科大天工大厦 B 座 6 层会议室 (五)网络投票的系统、起止日期和投票时间。 网络投票系统:上海证券交易所股东大会网络投票系统 网络投票起止时间:自2025 年 7 月 14 日 至2025 年 7 月 14 日 (六)融资融券、转融通、约定购回业务账户和沪股通投资者的投票程序 涉及 ...
海量数据(603138) - 海量数据第四届监事会第十二次会议决议公告
2025-06-26 09:45
证券代码:603138 证券简称:海量数据 公告编号:2025-033 北京海量数据技术股份有限公司 第四届监事会第十二次会议决议公告 本公司监事会及全体监事保证本公告内容不存在任何虚假记载、误导性陈述 或者重大遗漏,并对其内容的真实性、准确性和完整性承担法律责任。 一、监事会会议召开情况 北京海量数据技术股份有限公司(以下简称"公司")第四届监事会第十二 次会议于 2025 年 6 月 26 日在公司会议室以现场结合通讯表决方式召开。本次会 议由公司监事会主席孟亚楠先生主持,公司于 2025 年 6 月 20 日以邮件方式向监 事发出会议通知,会议应参加表决监事 3 名,实际参加表决监事 3 名。本次监事 会会议的召集、召开符合《中华人民共和国公司法》和《北京海量数据技术股份 有限公司章程》(以下简称"《公司章程》")的有关规定,决议内容合法有效。 二、监事会会议审议情况 (一)审议通过《关于取消监事会并修订<公司章程>及相关议事规则的议 案》 具体内容详见公司同日于指定信息披露媒体披露的《北京海量数据技术股份 有限公司关于募集资金投资项目延期的公告》(公告编号:2025-035)。 根据《中华人民共和国公 ...
海量数据(603138) - 海量数据第四届董事会第十三次会议决议公告
2025-06-26 09:45
证券代码:603138 证券简称:海量数据 公告编号:2025-032 北京海量数据技术股份有限公司 第四届董事会第十三次会议决议公告 本公司董事会及全体董事保证本公告内容不存在任何虚假记载、误导性陈述 或者重大遗漏,并对其内容的真实性、准确性和完整性承担法律责任。 一、董事会会议召开情况 北京海量数据技术股份有限公司(以下简称"公司")第四届董事会第十三 次会议于 2025 年 6 月 26 日在公司会议室以现场结合通讯表决方式召开。本次会 议由董事长闫忠文先生主持,公司于 2025 年 6 月 20 日以邮件方式向董事、监事 和高级管理人员发出会议通知,会议应出席董事 7 人,实际出席董事 7 人,公司 全体监事和高级管理人员列席本次会议。本次董事会会议的召集、召开符合《中 华人民共和国公司法》、《北京海量数据技术股份有限公司章程》的有关规定,决 议内容合法有效。 二、董事会会议审议情况 (一)审议通过《关于取消监事会并修订<公司章程>及相关议事规则的议 案》 根据《中华人民共和国公司法》、《关于新<公司法>配套制度规则实施相关过 渡期安排》和《上市公司章程指引》等相关法律法规、指引要求,结合公司实际 情 ...
平安瑞尚六个月持有混合基金经理唐煜:AI抓取海量数据、逻辑分析助力“固收+”投资
Quan Jing Wang· 2025-06-26 07:33
Group 1 - The core viewpoint of the article emphasizes the importance of data and logic in investment decision-making in the AI era, as highlighted by the manager of Ping An Ruishang's mixed fund [1] - The investment framework presented by the manager is divided into fixed income and equity parts, focusing on interest rate bonds and cyclical consumer investments [1] - The manager believes that the previous short-term fluctuations in the bond market have ended, and the market has returned to a positive trend, despite ongoing uncertainties in US-China negotiations [2] Group 2 - The manager recommends maintaining a portfolio duration above the market neutral level, while noting that current yield levels may not provide sufficient upside potential [2] - In the equity market, a barbell strategy is suggested, focusing on low-position technology sectors and high-dividend stocks for potential buy opportunities during corrections [2]
打造多层次资本市场体系 发挥沪港“双轮驱动”优势
Zhong Guo Zheng Quan Bao· 2025-06-18 20:32
Group 1: Financial Cooperation and Global Economic Stability - Strengthening global monetary policy coordination is crucial for promoting global economic recovery and maintaining financial system stability, especially in light of rising uncertainties in the international economy [2] - Central banks need to enhance communication with markets and adapt their monetary policy frameworks to address structural changes, including geopolitical shifts and environmental factors [2][3] Group 2: Capital Market Development - The capital market is essential for optimizing capital allocation, fostering innovation, and enhancing financing channels, necessitating a multi-tiered market system in China [3] - Shanghai is positioned as a leading international financial center, benefiting from a comprehensive financial market system and regional industrial advantages, which can facilitate further financial market internationalization [3][4] Group 3: Shanghai and Hong Kong Collaboration - The collaboration between Shanghai and Hong Kong is increasingly important due to fundamental changes in capital flows and the need for diversified investment opportunities [4] - Both cities can provide a favorable regulatory environment for international investors, particularly in the context of RMB internationalization, which is vital for attracting foreign capital [4][6] Group 4: Investment Opportunities - Currently, approximately 10% of Chinese company stocks are held by international investors, indicating a significant interest in entering the Chinese market, which requires more financial futures products for risk management [6] - Hong Kong serves as a platform for global investors, while Shanghai is ideal for connecting with domestic investors, enhancing capital formation through their collaboration [5][6]
海量数据入选《2025中国数据市场研究报告》
Sou Hu Cai Jing· 2025-06-16 10:56
Core Insights - The report by the research platform "First Voice" highlights the competitive landscape and future trends of the Chinese database market, which has reached a scale of 51.2 billion yuan [1][3]. Market Overview - The current Chinese database market has entered a critical phase of "core system" replacement, with a market size of 51.2 billion yuan, requiring high stability and migration cost considerations from database vendors [3]. - The domestic database market share analysis indicates that by 2024, the local deployment database market's CR10 will account for approximately 45%, with "Vastbase" ranked 7th due to its robust product system and market share [5]. Industry Insights - The report reveals that the domestic replacement rate for databases in key government applications has reached 90%, with an annual growth rate of 20% in eight major industries [8]. - In the manufacturing sector, "Vastbase" is recognized for providing integrated and intelligent database solutions, ensuring data security and business continuity for major enterprises [10]. Future Trends - The report emphasizes the integration of vector databases with AI, which will empower large model applications by constructing knowledge bases [10]. - "Vastbase V100," a high-performance vector database, is positioned to support the native collaborative management of structured data and high-dimensional vectors, addressing complex needs in knowledge management and semantic search [10]. - The trend of "independent innovation" is becoming a new theme in the industry, with a focus on accelerating the full-stack domestic replacement process and enhancing the digital transformation of the industry [10].
海量数据20250605
2025-06-06 02:37
Company and Industry Summary Company Overview - The company has seen a continuous increase in total orders for the first four months of 2025, entering multiple provincial framework procurement orders and achieving breakthroughs in sectors such as telecommunications, finance, and manufacturing. New clients include Industrial Bank and Yangtze Memory Technologies, with additional contracts signed in state-owned enterprises and resource industries [2][5]. Financial Performance and Projections - The company aims for a revenue target of 500 million yuan for 2025, with expectations that the vector database products will contribute to revenue by the end of the year. The revenue target is currently on track [2][6]. - The gross profit margin for high-margin database business has exceeded 60%, with expectations for further improvement in the second and third quarters of 2025 [4][20]. Industry Dynamics - The company has made significant progress in the party and government information innovation sector, benefiting from subsidy policies in third-tier regions, which have increased procurement willingness. First and second-tier regions are also reporting good progress in documentation submissions [2][9]. - The financial sector is less affected by replacement policies, with ample funding contributing significantly to revenue. State-owned enterprises and manufacturers show a high willingness to replace systems, leading to deeper collaborations [2][15]. Technological Developments - The company is focusing on centralized database development using Oracle Rack technology, high concurrency, and high performance. Vector database technology is a new focus area, with ongoing cloud adaptation and testing [3][8]. - The vector database products are being tested with clients in finance, government, and healthcare, with applications in large models, recommendation systems, and fraud detection [6][17]. Operational Insights - The company has expanded its sales team, with an expected increase in employee count from approximately 910 to 1,060 by the end of the year, primarily to enhance delivery capabilities [7][22]. - Research and development investment remains stable at around 200 million yuan, with a team of over 400 personnel [3][22]. Market Opportunities and Challenges - The company anticipates a 40% revenue growth compared to last year's 370 million yuan, driven by industry growth and policy benefits. However, challenges remain due to varying impacts of policies across different sectors [20][21]. - The company is currently in a wait-and-see mode regarding mergers and acquisitions due to tightening policies, focusing on integrating and consolidating while maintaining revenue and profit [19]. Key Takeaways - The company is positioned well within the market, with a strong order book and significant growth potential in high-margin sectors. The focus on technological advancements and strategic partnerships will be crucial for sustaining growth in a competitive landscape [2][20][21].
海量数据(603138) - 海量数据使用部分闲置募集资金进行现金管理到期赎回的公告
2025-06-03 09:00
证券代码:603138 证券简称:海量数据 公告编号:2025-031 北京海量数据技术股份有限公司 单位:人民币万元 本公司董事会及全体董事保证本公告内容不存在任何虚假记载、误导性陈述 或者重大遗漏,并对其内容的真实性、准确性和完整性承担法律责任。 北京海量数据技术股份有限公司(以下简称"公司")于 2024 年 4 月 17 日 召开第四届董事会第八次会议审议通过了《使用部分闲置募集资金进行现金管理 的议案》。同意公司使用额度不超过人民币 24,000 万元的闲置募集资金购买安全 性高、流动性好、具有合法经营资格的金融机构销售的大额存单、结构性存款等 保本型产品,在上述额度范围内资金可滚动使用,使用期限自董事会审议通过之 日起十二个月内有效。 公司又于 2025 年 4 月 16 日召开第四届董事会第十二次会议审议通过了《使 用部分闲置募集资金进行现金管理的议案》。同意公司使用额度不超过人民币 15,000 万元的闲置募集资金购买安全性高、流动性好、具有合法经营资格的金 融机构销售的大额存单、结构性存款等保本型产品,在上述额度范围内资金可滚 动使用,使用期限自董事会审议通过之日起十二个月内有效。 具体内容 ...
数据资源“大摸底”
Ren Min Ri Bao· 2025-05-27 22:49
Core Insights - The total national data production in China reached 41.06 ZB in 2024, marking a 25% year-on-year increase, with a per capita data production of approximately 31.31 TB, also reflecting a growth of 25.17% [2][3] Data Production and Growth - The national data production volume has surpassed 40 ZB for the first time, with a growth rate increase of 2.56 percentage points compared to the previous year [2] - The total computing power in 2024 reached 280 EFLOPS, with intelligent computing power accounting for 32% of this total, indicating a significant enhancement in data processing capabilities [2] Sector and Regional Distribution - Data production is concentrated in major economic provinces, with Guangdong, Jiangsu, Shandong, Zhejiang, Henan, and Sichuan accounting for 57.45% of the national total [4][5] - The financial sector remains a leader in data production, with the financial cloud market projected to reach $5.23 billion in the second half of 2024, reflecting an 11% year-on-year growth [6] Emerging Trends and Technologies - The rapid development of artificial intelligence has led to a 40.95% increase in data used for AI training and inference, with smart home and connected vehicle data growing at 51.43% and 29.28%, respectively [3] - New sectors such as low-altitude economy and robotics are emerging as significant contributors to data production, with growth rates exceeding 30% [3] Data Utilization and Market Dynamics - The report indicates that only 2.9% of the produced data is stored, highlighting a significant underutilization of data resources [7] - Active data utilization has improved, with a 22.73% increase in active data volume, and over 66% of leading enterprises have purchased data [8] Future Projections - The national data production is expected to continue growing, with projections indicating it may exceed 50 ZB by 2025, driven by emerging industries such as autonomous driving and low-altitude economy [9] - The data industry in China is anticipated to reach a scale of 7.5 trillion yuan by 2030, with over 190,000 related enterprises currently operating in the sector [9]
AI时代对网安产品提出更高要求:从海量数据中主动感知风险
Zhong Guo Xin Wen Wang· 2025-05-26 09:36
Core Viewpoint - The rapid development of AI necessitates a transformation in cybersecurity products, which should possess self-learning, adaptive, proactive discovery, response, and reaction capabilities [1][3] Group 1: AI and Cybersecurity Product Requirements - Cybersecurity products must utilize network traffic data effectively to anticipate risks, as significant amounts of this data are often lost due to high storage costs [1] - In the AI era, it is essential to address the challenge of processing and long-term storage of traffic data, allowing it to become a cumulative resource rather than being transient [1] - AI has a significant role in analyzing and processing data to enhance risk perception and response capabilities [1] Group 2: Insights from Industry Experts - The development of AI in cybersecurity requires a strong foundation of intelligent infrastructure, improved data quality, and suitable models, along with the integration of security experts' insights [3] - AI is transforming the entire lifecycle of cybersecurity defense, moving from static rules to intelligent engine-driven approaches, highlighting the limitations of traditional methods [3] - AI is viewed as both a new digital asset and a potential risk for enterprises, indicating the end of single-point defense strategies and the need for a systematic, AI-driven defense mechanism against modern cyber threats [3]