Group 1 - The core point of the article is the announcement of the "Xirang" integrated intelligent computing platform, which currently has a total computing power of 62 EFLOPS [1] - The platform consists of 35 EFLOPS of self-owned computing power and 27 EFLOPS of cooperative computing power [1] - There are 18 intelligent computing centers established in various cities and industries [1]

Group 1 - Beijing is accelerating the integration of digital economy and artificial intelligence, focusing on advanced technologies and optimizing the digital economy ecosystem [1] - The "One District, Three Centers" strategy is being advanced to enhance data governance and promote the construction of a data trading system [1] - China Telecom is leveraging its integrated advantages of "cloud + network + data + AI + applications" to support the digital transformation across various industries [1] Group 2 - China Telecom is rapidly building computing power infrastructure, including a computing scheduling platform and a large model training platform [2] - The industry is shifting from a "hundred model war" to optimizing cloud inference service efficiency, emphasizing the need for a collaborative approach across hardware, software, models, applications, and professional services [2] - The China Academy of Information and Communications Technology will focus on building a technical service system for the engineering delivery of large models to support healthy industry development [2] Group 3 - A talent cultivation mechanism is needed in the digital economy era, emphasizing the importance of university-enterprise cooperation for key technological breakthroughs [3] - Beijing Telecom and Beijing University of Posts and Telecommunications have established a joint laboratory for industry data intelligent labeling to support AI model training [3] - Beijing Telecom is showcasing innovations in AI, computing power, and data elements, having built a comprehensive AI service system to provide digital transformation tools for various industries [3]

Group 1 - The core viewpoint emphasizes that artificial intelligence applications are becoming a crucial engine for accelerating the construction of a digital China, with this year being marked as the year of large-scale AI application [1][2] - Over a hundred AI intelligent robots showcased at the Digital China Construction Summit, covering various scenarios from home services to industrial manufacturing and urban management [1] - The chairman of China Telecom highlighted the significant reduction in computational and algorithmic barriers due to new open-source AI technologies, which promotes the accelerated popularization of large model applications [1] Group 2 - China Unicom's chairman stated the importance of strengthening AI foundational innovation, having developed over 40 industry-specific large models that significantly empower economic operations and urban governance [2] - The need for an open and win-win cooperation framework is essential for promoting the construction of a digital China, with key drivers including accessible computing power, open-source models, and data flow [2] - The chairman of China Telecom called for greater collaboration across industries to foster deeper and broader levels of open cooperation in AI innovation and development [2]

Group 1 - The year 2024 marks the formal inclusion of data assets in accounting practices, with 92 listed companies reporting a total of 2.495 billion yuan in data assets by the end of the year [1][2] - The number of companies reporting data assets has increased from 17 in the first quarter to 92 by the annual report, with the total value rising from 79 million yuan to 2.495 billion yuan [2] - Major contributors to data asset reporting include China Mobile, Cloud Horse, China Unicom, and China Telecom, each reporting over 100 million yuan in data assets [2][5] Group 2 - Data assets are primarily classified as intangible assets, with over 60 companies accounting for more than 1.3 billion yuan in this category, representing approximately 60% of the total [3] - The inclusion of data assets in financial statements helps companies optimize their financial reports, impacting asset scale and net profit [3] - Data asset reporting is seen as a foundation for digital transformation and exploring data trading and value-added services [3] Group 3 - The standardization and normalization of data asset reporting is a growing concern, as not all data resources qualify as assets [4] - Companies face challenges in distinguishing between data resources, products, and assets, necessitating a comprehensive approach to compliance and management [4] - Some companies have been cautious in reporting data assets, with instances of previously reported data being corrected or omitted in annual reports [5]

Group 1 - The eighth Digital China Construction Summit focused on the integration of artificial intelligence, large models, computing power, and data elements, highlighting a collaborative effort among government, enterprises, and research institutions to advance intelligent transformation in the capital [1] - Beijing is accelerating the deep integration of the digital economy and artificial intelligence, aiming to enhance digital infrastructure and intelligent computing systems while collaborating with companies like Beijing Telecom to optimize the digital economy ecosystem [1] - China Telecom is rapidly building computing power infrastructure in Beijing, establishing a systematic computing scheduling platform, large model training platform, intelligent agent development platform, and standardized data labeling system [1] Group 2 - The AI cloud era is witnessing a strategic shift in the large model industry from a "hundred model battle" in pre-training competition to optimizing cloud inference service efficiency, emphasizing the need for engineering in both training and inference stages [2] - Beijing Telecom and Beijing University of Posts and Telecommunications have established a "Joint Laboratory for Industry Data Intelligent Labeling," showcasing innovations and explorations in AI, computing power, and data elements during the forum [2]

证券代码：601728 证券简称：中国电信 公告编号：2025-017 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5月21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 (一) 股东大会类型和届次 2024年年度股东大会、2025年第一次A股类别股东会和2025年第一次H股类别股东会 (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5月21日 上午10点整 召开地点：香港金钟道88号太古广场香港JW万豪酒店三楼宴会厅 (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 采用上海证券交易所网络投票系统，通过交易系统投票平台的投票时间为股东大会召开当日的交易时间 段，即9:15-9:25,9:30-11:30，13:00-15:00；通过互联网投票平台的 ...

险资入市又有了新进展。 4月29日晚，新华保险公告称，公司拟出资不超过100亿元认购由国丰兴华（北京）私募基金管理有限公司发起 设立的私募基金的份额。该基金成立规模为200亿元，新华保险与中国人寿拟各出资100亿元认购私募基金份 额。 公告显示，该基金投资范围为中证A500指数成份股中符合条件的大型上市公司A+H股。 据了解，该私募基金的名称暂定为国丰兴华鸿鹄志远二期私募证券投资基金（简称"鸿鹄志远二期"），由国丰 兴华发起设立。鸿鹄志远二期存续期限为10年，私募基金贯彻长期投资理念，通过低频交易、长期持有的方式 以获得稳健股息收益。 鸿鹄志远二期的规模为200亿元，新华保险与中国人寿拟各出资100亿元认购私募基金份额。基金投资范围为， 中证A500指数成 份 股中符合条件的大型上市公司A+H股。 据新华保险公告，鸿鹄志远二期的投资标的应当公司治理良好、经营运作稳健、股息相对稳定、股票流动性相 对较好，与保险资金长期投资需求相适应。 新华保险表示，本次投资事项符合国家推动中长期资金入市的相关政策，以及未来本公司整体战略发展方向。 本公司坚持长期投资、价值投资和稳健投资的理念，积极发挥好长期资本、耐心资本、高能 ...

Investment Rating - The investment rating for the company is "Buy" and is maintained [9] Core Views - The company's operating performance remains stable, with traditional mobile communication business developing steadily and new emerging businesses, particularly IDC, experiencing accelerated growth [2][6] - For Q1 2025, the company achieved operating revenue of 134.5 billion yuan, flat year-on-year, and a net profit attributable to shareholders of 8.9 billion yuan, representing a year-on-year increase of 3.1% [6][12] - The company has provided clear guidance for the year, indicating expectations for good growth in revenue, EBITDA, and net profit [2][12] Summary by Sections Operating Performance - In Q1 2025, the mobile communication business showed steady growth, with 5G network users reaching 270 million, a penetration rate of 62.0%, and mobile internet traffic increasing by 14.2% year-on-year [12] - The smart home business also performed well, with revenue growth of 11.5% year-on-year [12] Emerging Business Growth - IDC revenue reached 9.5 billion yuan in Q1 2025, a year-on-year increase of 10.4%, with significant growth in intelligent revenue (151.6% year-on-year), video internet revenue (58.4% year-on-year), satellite communication revenue (37.2% year-on-year), and quantum revenue (81.1% year-on-year) [12] - The company is leveraging its cloud-network integration advantages to drive innovation and expand new business scales [12] Cash Flow and Accounts Receivable - The net operating cash flow for Q1 2025 was 10.83 billion yuan, down 48.1% year-on-year, primarily due to longer payment cycles in the digitalization business [12] - However, the growth rate of accounts receivable has begun to decline, indicating improved control over accounts receivable [12] Financial Forecast - The company forecasts net profits attributable to shareholders for 2025-2027 to be 35.1 billion yuan, 37.2 billion yuan, and 39.3 billion yuan, corresponding to year-on-year growth rates of 6.4%, 6.1%, and 5.4% respectively [12]

Group 1 - The core viewpoint is that the construction of a digital China is at a critical juncture, transitioning from digitization to intelligence, which will open a new chapter in development [1] - Artificial intelligence (AI) applications are identified as a key engine accelerating the construction of digital China, with 2023 being marked as the year of large-scale AI application, driven by new open-source AI technologies like DeepSeek [1] - The focus of AI application has shifted from computing power and algorithms to data elements due to explosive demand growth [1] Group 2 - The development of AI requires strengthening technological breakthroughs and promoting the intelligent upgrade of digital information infrastructure, with China Telecom achieving significant advancements in key technologies [1] - China Telecom has launched the world's first intelligent computing Ascend super node in Shaoguan, Guangdong, showcasing its full-stack cloud technology and product system [1] - The explosive growth of intelligent computing poses challenges to energy supply, necessitating innovations in AI energy-saving technologies and the integration of computing power with energy and communication [1] Group 3 - Common security issues facing the industry include cultural value biases from data bias, sensitive information leaks from model training, risks of model misalignment, and the proliferation of false information due to deep fakes [2] - To address these security challenges, China Telecom plans to integrate quantum technology into cloud network infrastructure and accelerate the construction of quantum backbone networks and metropolitan area networks in key cities [2] - An open and win-win cooperation framework is essential for promoting the construction of digital China, with a focus on inclusive computing power, open-source models, data flow, and open scenarios as key drivers for innovation in the AI industry [2]

Core Insights - The construction of a digital China is at a critical juncture, transitioning from digitization to intelligence, which will open a new chapter in development [3] - Artificial intelligence (AI) applications are becoming a crucial engine for accelerating the construction of digital China, with 2023 being recognized as the year of large-scale AI application [3] - The focus of AI application has shifted from computing power and algorithms to data quality, which is essential for high-quality applications [3] Group 1 - AI applications are significantly driven by new open-source technologies like DeepSeek, which lower the barriers for computing power and algorithms, thus promoting the widespread adoption of large models [3] - China Telecom has launched the world's first intelligent computing super node in Shaoguan, Guangdong, marking a significant leap in both the quality and quantity of intelligent computing supply [3] - The explosive growth of intelligent computing poses challenges to energy supply, necessitating innovations in energy-saving technologies and the integration of computing power with energy and communication [3] Group 2 - The importance of security in high-quality development is increasingly highlighted in the AI era, with China Telecom establishing a comprehensive protection system from infrastructure to data, content, algorithms, and applications [4] - Building an open and win-win cooperation framework is essential for advancing the construction of digital China, requiring extensive collaboration across various industries and fields [4] - China Telecom emphasizes the principles of openness, sharing, and cooperative win-win, enhancing collaboration in technology, cloud networks, data, and scenarios with partners and customers [4]