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企业数字化转型成熟度模型IOMM
Sou Hu Cai Jing· 2025-08-03 12:58
Core Viewpoint - The article discusses the IOMM model introduced by the China Academy of Information and Communications Technology (CAICT) as a framework for assessing and guiding enterprises in their digital transformation journey, emphasizing the necessity of digital transformation in the current economy [1][8]. Group 1: Digital Transformation Trends - Digital transformation has shifted from an optional strategy to a mandatory requirement for enterprises due to the rapid integration of cloud computing, big data, and artificial intelligence [1][2]. - Policies have been implemented to encourage enterprises to adopt digital technologies, enhancing their operational processes and production methods [2][3]. Group 2: Nature and Path of Transformation - The essence of digital transformation lies in the comprehensive integration of digital technologies with business elements to optimize resource allocation and improve productivity [3][4]. - Different types of enterprises have distinct transformation paths; IT-driven companies often start with IT infrastructure, while non-IT-driven companies focus on core business processes [3][21]. Group 3: IOMM Model Overview - The IOMM model evaluates enterprises based on two dimensions: digital infrastructure service operation capability and overall digital operational capability [4][5]. - The model consists of five maturity stages for digital infrastructure, ranging from basic assurance to innovation leadership, providing a roadmap for enterprises to assess their current status and identify improvement areas [4][28]. Group 4: Practical Case Studies - Leading enterprises that participated in the IOMM assessment have demonstrated significant advancements in their digital transformation efforts, such as China Construction Bank and Alibaba Cloud, showcasing the effectiveness of the model [6][7]. Group 5: Conclusion and Future Directions - The adoption of the IOMM model marks a transition from chaotic growth to refined operations in digital transformation, emphasizing the importance of aligning digital technologies with value creation [8][26]. - Digital transformation is viewed as an ongoing process rather than a final goal, enabling enterprises to adapt and thrive in the digital economy [8][18].
“数智赋能新消费论坛”圆桌对话:共探数智传播与新消费融合新路径
Zhong Guo Jin Rong Xin Xi Wang· 2025-08-03 02:53
Core Viewpoint - The "Digital Empowerment of New Consumption Forum" highlighted the integration of advanced technologies like AI and big data into various industries, emphasizing the shift from price sensitivity to value sensitivity in consumer behavior [3][5][11]. Group 1: Industry Insights - The forum discussed the transformation of marketing concepts in the context of digital empowerment, with a focus on creating transparent value models rather than merely selling products [3]. - The apparel industry is experiencing changes due to AI, which may replace certain technical roles but also necessitates new educational directions to enhance talent value in future jobs [5]. - The biopharmaceutical sector is leveraging AI to shorten the R&D cycle for new materials, exemplified by a company that has utilized AI to build a skin microbiome database [9]. Group 2: Company Strategies - Yalu Holdings is transitioning to a digital ecological service platform, restructuring its business model to integrate resources and enhance internal management functions [3]. - Daily Interactive has established a closed-loop business model driven by data, with 90% of its revenue coming from deep data mining and monetization [7]. - The cultural and creative industries are presented with new opportunities through digital communication, as companies can better understand user needs and develop attractive products [11].
辽宁省:持续深化公共服务数字化供给,推动全省数据中心集约化上云建设
Zheng Quan Shi Bao Wang· 2025-08-01 03:13
Core Viewpoint - Liaoning Province has introduced the "Implementation Plan for Digital Government Construction (2025-2027)" to enhance government governance and service efficiency through digital technologies such as big data and artificial intelligence [1][2] Group 1: Implementation Plan Overview - The plan emphasizes a "whole province in one chessboard" approach, focusing on top-level design and overall promotion of digital government initiatives [2] - Key components include the establishment of a data governance system, data standard system, and the integration of data resources to enhance data sharing and utilization [2][3] Group 2: Infrastructure Development - Liaoning has established a "two places, three centers" provincial data center support system, with 699 information systems migrated to the cloud [3] - The electronic government extranet covers over 27,000 service points across various administrative levels, enhancing accessibility and service delivery [3] Group 3: Future Directions - The province plans to continue promoting cloud migration for non-sensitive government information systems and optimize the management of government cloud resources [4] - Future upgrades will focus on integrating specialized networks with the electronic government extranet, expanding bandwidth, and enhancing data transmission efficiency [4]
国内"人工智能+"战略进入全面实施阶段,大数据ETF(159739)红盘蓄势
Xin Lang Cai Jing· 2025-08-01 01:59
Group 1 - The Chinese government has approved the "Artificial Intelligence +" action plan, emphasizing the integration of AI into various sectors and the importance of government-led demonstration projects [1] - The policy shift indicates a transition from technology support to positioning AI as a core engine for economic transformation, with local initiatives like Beijing's "AI-native city" and Shenzhen's "smart driving pioneer" reflecting this trend [1] - Overseas, AI capital expenditures are being revised upwards, with Meta increasing its 2026 capital expenditure guidance to nearly $100 billion and Microsoft planning to invest over $30 billion in the next quarter, primarily targeting AI infrastructure [1] Group 2 - The rapid development of AI is intensifying competition for traffic entry points, with significant hardware investments driving further efficiency in AI applications [2] - Cloud service providers are increasing their investments in computing power, driven by the competition for massive traffic and advertising revenue, with a focus on AI models and intelligent agents to enhance customer engagement [2] - The Big Data ETF closely tracks the CSI Cloud Computing and Big Data Theme Index, which includes 50 companies involved in cloud computing and big data services, reflecting the overall performance of these sectors [2] Group 3 - As of July 31, 2025, the top ten weighted stocks in the CSI Cloud Computing and Big Data Theme Index account for 53.85% of the index, including companies like Zhongji Xuchuang and Keda Xunfei [3]
数智科技大数据公司科研成果获IEEE国际学术会议收录
Jing Ji Wang· 2025-07-31 06:38
Group 1 - The seventh International Academic Conference on Artificial Intelligence, Computer Science, and Information Processing (AICSIP 2025) was held in Hangzhou, Zhejiang on July 25 [1] - A paper titled "Explaining The Improvement Of Multi-Exit Structure Distillation Using Stage Training And Attention Integration" was presented by a data intelligence technology company, attracting significant attention from both academia and the tech industry [1] - The research addresses the performance decline and inefficiency issues that arise when original AI models are distilled into smaller, less hardware-intensive models for enterprise applications, proposing a technique that enhances knowledge transfer efficiency during the distillation process [1] Group 2 - The technology has been successfully applied to a cloud-based hydropower model platform, resulting in a 52% reduction in computational consumption and a 40% increase in inference speed for the established runoff time series prediction model compared to pre-distillation [1] - This advancement significantly lowers the hardware resource requirements for AI applications in the hydropower industry, providing strong support for enhancing the intelligence level of hydropower applications [1] - The conference was sponsored by the IEEE China Council and co-hosted by Hangzhou Normal University and Hubei Zhongke Geological and Environmental Technology Service Center, with all accepted papers to be included in the IEEE Xplore core database and submitted for EI Compendex and Scopus indexing, highlighting the academic value and technological forefront of the research [2]
大数据ETF(159739)涨2.39%位列ETF榜前三,国产算力安全主题午后升温
Xin Lang Cai Jing· 2025-07-31 05:54
大数据ETF(159739),联接基金(A类 021090,C类 021091,I类 022882) 关联个股: 科大讯飞(002230)、中际旭创(300308)、新易盛(300502)、金山办公(688111)、中科曙光 (603019)、浪潮信息(000977)、恒生电子(600570)、紫光股份(000938)、润和软件 (300339)、润泽科技(300442) 券商研究方面,东北证券指出华为已构建从硬件到行业算法的闭环布局,其昇腾910C通过两颗计算die 合封设计实现FP16算力752TFLOPS,为大模型训练与推理提供强劲算力基础,并列举了华为云与中 化、兴发集团等企业在智能制造领域的合作案例,显示AI大模型在化工流程优化、能耗降低等方面的 实际成效;此外值得注意的是且不可忽视的需求是:meta、谷歌将全年资本开支上调至850亿美元以强 化AI基础设施,指出云计算业务规模化盈利(运营利润率20.7%)及Gemini开发工具企业用户达8.5万, 反映全球AI算力需求持续高景气,间接印证云计算产业链的成长动能。两家机构均从技术落地与资本 开支维度佐证了云计算与AI融合发展的产业趋势。 关联产品: ...
中证云计算与大数据主题指数上涨2.26%,前十大权重包含润和软件等
Jin Rong Jie· 2025-07-29 12:26
金融界7月29日消息,上证指数低开高走,中证云计算与大数据主题指数 (云计算,930851)上涨2.26%, 报5125.82点,成交额766.83亿元。 从中证云计算与大数据主题指数持仓样本的行业来看,信息技术占比65.80%、通信服务占比33.03%、 工业占比1.17%。 资料显示,指数样本每半年调整一次,样本调整实施时间分别为每年6月和12月的第二个星期五的下一 交易日。权重因子随样本定期调整而调整,调整时间与指数样本定期调整实施时间相同。在下一个定期 调整日前,权重因子一般固定不变。特殊情况下将对指数进行临时调整。当样本退市时,将其从指数样 本中剔除。样本公司发生收购、合并、分拆等情形的处理,参照计算与维护细则处理。 跟踪云计算的公募基金包括:易方达中证云计算与大数据ETF、融通中证云计算与大数据C、华夏中证 云计算与大数据主题联接A、招商中证云计算与大数据ETF、广发中证云计算与大数据主题ETF、西藏 东财中证云计算与大数据主题指数增强A、鹏华中证云计算与大数据主题ETF、华夏中证云计算与大数 据主题ETF、广发中证云计算与大数据联接C、易方达中证云计算与大数据主题联接C等。 据了解,中证云计算与 ...
国家数据局举行数据要素综合试验区建设系列主题首场新闻发布会
Zhong Guo Fa Zhan Wang· 2025-07-28 02:57
Core Viewpoint - The National Data Bureau is actively promoting the construction of comprehensive data element pilot zones to support local initiatives in data property rights and market ecology, focusing on 35 key experimental tasks across eight areas [2][3]. Group 1: Pilot Zone Construction - The National Data Element Comprehensive Pilot Zones are established to drive the market-oriented allocation reform of data elements, with ten zones set up in various provinces including Beijing, Zhejiang, and Anhui [3]. - The pilot zones aim to address public data aggregation governance and authorized operations, with key tasks including data infrastructure construction and data resource development [3]. Group 2: Regional Initiatives - Guizhou province is leveraging its advantages to enhance the digital economy, implementing policies to promote high-quality data industry development, including a focus on data resource collaboration and incentives for businesses [4]. - Hubei province has deployed AI systems in 170 hospitals, achieving a 95.88% coverage rate for AI-assisted diagnosis, and has built a pathology database with over 2.3 million high-precision digital slices [4]. Group 3: Data Infrastructure Development - Beijing is constructing a data infrastructure system aimed at high-speed interconnectivity and security, with over 4,500 data products launched across various sectors [6]. - Anhui province is advancing its data center construction, attracting significant investment and establishing a comprehensive computing resource platform that integrates various computing types [7]. Group 4: Data Application and Industry Empowerment - Shandong province is focusing on marine data development, creating a specialized marine big data trading platform that has gathered over 12 billion global marine data records [8]. - Guizhou is enhancing the tourism sector through data standardization and application, creating a smart tourism system that integrates various services for visitors [9][10].
商务部:中国将与阿拉伯国家拓展光伏等可再生能源合作
Zhong Guo Xin Wen Wang· 2025-07-25 13:30
Group 1 - The Chinese Ministry of Commerce aims to strengthen traditional energy cooperation with Arab countries while expanding collaboration in renewable energy sectors such as photovoltaics, wind power, and green hydrogen [1] - The upcoming 7th China-Arab States Expo will be held from August 28 to 31 in Yinchuan, Ningxia, with a focus on innovation, green development, and prosperity [2] - In 2024, the trade volume between China and Arab countries is projected to reach $407.4 billion, reflecting a year-on-year growth of 2.3%, maintaining China's position as the largest trading partner of Arab nations [1] Group 2 - Chinese enterprises are actively investing in various production projects in Egypt, UAE, and Saudi Arabia, including metal smelting, building materials manufacturing, cotton spinning, and aquaculture [1] - There is a growing trend of mutual investment, with Arab sovereign wealth funds and companies investing in China's petrochemical, new energy, and technology sectors [1] - The economic structures of China and Arab countries are complementary, with significant potential for future cooperation in traditional sectors like energy, agriculture, and infrastructure, as well as emerging fields such as new energy vehicles, high-end equipment manufacturing, and green low-carbon technologies [1]
高端展会彰显中国扩大对外开放坚定姿态
Zhong Guo Zheng Quan Bao· 2025-07-24 21:10
Group 1 - The recent series of international expos in China, including the China International Supply Chain Promotion Expo, aims to showcase China's market potential and promote global cooperation amidst challenges like unilateralism and protectionism [1][2] - The expos serve as platforms for industry collaboration, with a focus on long-term mutual benefits rather than short-term transactions, exemplified by the partnerships formed at the Chain Expo [1][3] - The 15th China-Northeast Asia Expo will take place in August, emphasizing international cooperation and new platforms for trade and investment, while the 7th China-Arab States Expo will focus on deepening economic ties and exploring new growth areas [2][3] Group 2 - The Chain Expo has seen a rising proportion of overseas exhibitors, reaching 35% in its third edition, with over 65% being Fortune 500 and industry-leading companies, covering 75 countries and regions [3][4] - The Northeast Asia Expo has attracted over 8,000 participants from 42 countries and regions, indicating strong international interest [3][4] - The 2025 China International Big Data Industry Expo is also drawing significant foreign participation, with major companies like Intel and German Data confirmed to exhibit [3][4] Group 3 - The expos are reshaping international perceptions of China's openness, attracting multinational companies and facilitating partnerships through shared rules and technology [4][5] - The Chain Expo introduced an innovation chain section, showcasing 152 new products and technologies, a 67% increase from the previous year, highlighting China's commitment to high-quality economic development [4][5] - The Northeast Asia Expo will debut a "Modern Industry Pavilion" to showcase traditional industries and new productivity achievements, while the Big Data Expo will feature specialized areas for advanced technologies [5]