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苏州市人大代表奚涛:构建智慧监管体系,守护食用农产品安全
Yang Zi Wan Bao Wang· 2026-01-25 11:17
"守护好从田间到餐桌的每一环,是重要的民生工程。"苏州市人大代表、张家港市农业发展集团副总经理奚涛在今年苏州市两会期间提出建议,呼吁运用 数字技术优化食用农产品全链条安全监管。 奚涛向记者介绍道,当前农产品监管面临链条长、标准不统一等挑战。"例如地产农产品的合格证样式各异,甚至存在自行填报的情况,给源头监管和溯 源带来困难。" 视频黄玉琴 校对陶善工 为此,他提出系统性建议:农业农村部门需强化源头管控,统一合格准入凭证;市场监管部门要加大抽检频次,提升智能检测水平;商务部门应聚焦大宗 交易等重点领域加强监管。 "关键在于打通数据壁垒。"奚涛强调,必须推动多部门实现产销数据共享,并依托大数据等技术搭建全市统一的智慧溯源监管平台,最终实现"源头可 溯、去向可追"。 他表示,构建现代化监管体系是保障市民"舌尖安全"的必然要求,也是提升城市治理水平的重要体现,通过制度与科技双轮驱动,希望在此领域形成可落 地、可推广的现实经验。 扬子晚报/紫牛新闻记者黄玉琴 ...
湖州政务服务“一网通办”率已达99.7%
Xin Lang Cai Jing· 2026-01-02 23:43
Group 1 - The core viewpoint of the articles highlights the significant improvements in local government services, particularly in pension application processes and the integration of online and offline services for residents [1][2] - In Huzhou, 1,284 community service points and 74 service centers have been established, achieving full coverage of grassroots service networks [1] - The "one-stop" service model has been enhanced through the use of RPA and AI technologies, leading to an 80% reduction in manual verification for educational enrollment [2] Group 2 - The city has achieved a 99.7% rate of online application processing for government services, indicating a strong push towards digitalization [1][2] - Collaborative efforts with 68 regions across the country have enabled cross-province handling of 151 high-frequency matters, enhancing service accessibility [2] - The government aims to further expand the depth and breadth of online services, focusing on creating a streamlined and efficient service environment for both citizens and businesses [2]
数据共享确保关怀“不落一人”
Xin Lang Cai Jing· 2025-12-28 20:28
Core Insights - The Xinjiang Uygur Autonomous Region Federation of Trade Unions has invested a total of 2.2969 million yuan to distribute "Warm New Gift Packages" to 22,969 new employment form workers across 12 leading platform companies since September [1][2] - The "Warm New Gift Package" includes practical items such as power banks, thermos cups, cold protection gear, and daily hygiene products, aimed at providing care and support to workers [1] - A digital platform, "Worker's Home" APP, has been utilized to streamline the membership process for workers, allowing for easy access to services and benefits [2] Summary by Sections - **Investment and Distribution**: The total investment of 2.2969 million yuan has been allocated for the distribution of gift packages to 22,969 workers, reflecting a targeted approach to support new employment forms [1] - **Contents of the Gift Package**: The gift packages contain essential items that are useful for daily life, demonstrating a thoughtful consideration of workers' needs [1] - **Digital Integration**: A data-sharing mechanism has been established with 12 leading platform companies to ensure that care reaches every worker, utilizing the "Worker's Home" APP for efficient identification and service delivery [2] - **Organizational Structure**: A three-tiered union system has been created to enhance collaboration between the federation and enterprise unions, ensuring effective implementation of support initiatives [2] - **Long-term Service Goals**: The initiative aims to transition from one-time support to ongoing services, including legal consultation, skills training, and health care, thereby enhancing the overall welfare of workers [2]
人工智能重构全球能源秩序底层逻辑
Zhong Guo Dian Li Bao· 2025-12-22 06:28
Core Insights - The rapid evolution of artificial intelligence (AI) is reshaping the global energy landscape, transitioning from a resource-based order to one centered on data, algorithms, and computing power [2][4] - AI's capabilities are significantly enhancing operational efficiency in the energy sector, with examples such as improved forecasting accuracy and reduced exploration times [2][4] Group 1: AI's Impact on Energy - AI's iteration cycle has accelerated, with parameter scales increasing tenfold every nine months, leading to cognitive abilities that surpass human capabilities in certain areas [1] - AI is enabling real-time predictions for renewable energy sources, drastically reducing operational inefficiencies, such as lowering wind power curtailment rates to below 3% [2] - Major energy companies are developing large-scale AI models to enhance system efficiency and transform operational paradigms [2] Group 2: Economic Implications of Computing Power - Computing power is becoming synonymous with economic output, with a return of 3 to 4 times for every unit invested in computing power [3] - The competition in the energy sector is shifting from asset-heavy investments to a focus on algorithmic efficiency and density [3] Group 3: Global Power Dynamics - The control of AI algorithms is concentrated, with the U.S. holding 85% of global AI frameworks, while Europe and China dominate in specific energy technologies and manufacturing capacities [4] - The future energy order will be defined by those who can integrate energy and computing power effectively, potentially relegating traditional energy producers to mere "energy subcontractors" [4] Group 4: Challenges in AI Adoption - The energy sector faces significant challenges in harnessing AI, including high computing power demands leading to increased energy consumption and carbon emissions [4] - Data silos hinder the training and effectiveness of AI models, with less than 30% data sharing across the energy system [5] - Supply chain security is a concern, particularly regarding reliance on foreign technology for AI hardware and software [6] Group 5: Strategic Pathways for Advancement - To overcome existing challenges, the industry must focus on creating a unified data and computing ecosystem, enhancing collaboration between computing resources and renewable energy [7] - Establishing a secure and trustworthy energy data-sharing environment is crucial, necessitating standardized data protocols and advanced technologies for data privacy [8] - Strengthening domestic capabilities in AI technology and reducing dependency on foreign systems is essential for long-term sustainability [8]
钱塘征信获得“可信数据空间”基础能力测评证书
Sou Hu Cai Jing· 2025-12-19 07:46
Group 1 - The 2025 Data Asset Management Conference was held in Beijing, organized by the China Communications Standards Association and hosted by the China Academy of Information and Communications Technology [1] - Qiantang Credit became the first personal credit company to pass the Trusted Data Space Basic Capability Special Inspection Certificate, alongside other notable companies such as China Mobile, China Unicom, and Xiaomi [1][3] - The Trusted Data Space Basic Capability Special Inspection covers thirteen core modules, including service platform management and security management, with over 70 testing items [3] Group 2 - Qiantang Credit's Trusted Data Space is built on principles of security, controllability, and auditability, facilitating efficient data flow across organizations and sectors while releasing data value based on credit business [3][6] - The technical framework of Qiantang Credit includes a Trusted Space Service Platform and Access Connector, forming a closed-loop system for cross-institution data collaboration and compliance auditing [6] - Qiantang Credit is a national personal credit institution approved by the People's Bank of China and has been designated as the authorized operator of public data resources in the credit service sector in Zhejiang Province [6]
中国银行原行长李礼辉:智能金融治理应该刚柔并济,洞察、支持、引导创新
Xin Lang Cai Jing· 2025-12-19 02:01
Core Viewpoint - The 22nd China International Financial Forum emphasizes the construction of a secure and efficient intelligent financial ecosystem in the digital economy era, highlighting the need for reliability, interpretability, and economic viability in smart financial innovations [1][18]. Group 1: Financial Models - AI technology is evolving from unimodal to multimodal, enabling the processing of unstructured data and creating direct commercial value in finance [3][21]. - The DeepSeek OCR launched on October 20 can compress text token counts by 90% and accurately identify key information in financial documents, enhancing data processing precision [3][21]. - Financial models must ensure high reliability, interpretability, and economic efficiency, focusing on security against malicious attacks and minimizing errors in financial transactions [5][23]. Group 2: Financial Agents - The evolution of AI from assistants to agents allows for the development of financial agents capable of performing complex tasks in various financial sectors, potentially replacing human roles [7][26]. - AI agents are already being deployed in banks and financial institutions, significantly improving efficiency, such as reducing the time for due diligence report writing from one day to one hour with over 98% accuracy [8][26]. - The shift towards AI in finance necessitates a transformation in human resource management and educational structures to accommodate the new skill requirements [9][27]. Group 3: Data Sharing - The quality and quantity of data are critical for the effectiveness of intelligent finance, with current data sharing facing challenges such as administrative fragmentation and insufficient integration of private data [10][28]. - The "Data 20" initiative aims to establish a framework for data rights, circulation, and governance, promoting both the quantity and quality of data shared [10][28]. - Local regulations and platforms are being developed to facilitate public data sharing and improve the flow of non-public data among financial institutions and tech companies [11][29]. Group 4: AI Competition - AI is recognized as a core technology determining national strength, with competition primarily between the US and China, focusing on computational power [12][31]. - By the end of 2024, China's computing power is projected to account for approximately 26% of the global total, while the US is expected to hold about 37% [13][32]. - The development of AI technologies must navigate geopolitical challenges, with the US imposing restrictions on high-end technology exports to China, impacting the global AI landscape [14][33].
202514效能快车
Xin Lang Cai Jing· 2025-12-09 13:36
Group 1 - The core viewpoint emphasizes the continuous improvement of service quality and efficiency for state-owned enterprises through systematic reforms and enhanced monitoring mechanisms [2][12] - The implementation of a comprehensive evaluation system for high-quality development and management guidelines aims to concentrate state capital in key industries and sectors [2][12] - As of October, the total assets of state-owned enterprises reached 2.55 trillion yuan, a year-on-year increase of 3.89%, while profits for the first ten months amounted to 15.155 billion yuan, reflecting a significant year-on-year growth of 125.93% [2][12] Group 2 - The tax authority has introduced a streamlined service model for cross-strait tax matters, enhancing efficiency for Taiwanese enterprises with features like automatic pre-filling of tax forms and integrated online services [3][13] - A total of 1,386 Taiwanese enterprises were able to issue invoices on the day of their establishment, and 6,374 enterprises utilized the integrated tax declaration system, generating tax revenues of 1.454 billion yuan [3][13] - The collaboration between various departments has led to the optimization of tax-related processes, reducing the number of steps for certain applications from five to two [3][13] Group 3 - Fuzhou has launched a new pre-approval service model that includes one-on-one consultations and a comprehensive online service platform, significantly improving the efficiency of administrative processes [4][14] - The initiative has processed 15,433 pre-approval services, with a 100% satisfaction rate from over 52,354 users benefiting from remote video consultations [4][14] - Data sharing across departments has reduced the need for document submissions by approximately 1.7 billion items, enhancing the overall efficiency of service delivery [4][14] Group 4 - The Ningde city has established a one-stop service platform for enterprise demands, successfully addressing 5,667 requests with a satisfaction rate of 98.591% [6][17] - A rapid response mechanism categorizes and processes various enterprise issues, ensuring resolution within specified timeframes [6][17] - The platform has led to the development of 25 targeted policy measures to address common challenges faced by businesses, shifting from broad policy distribution to precise support [6][17] Group 5 - The "Qiaoyi Ban" service model in Mingxi County has been designed to facilitate cross-border services for overseas Chinese, achieving significant cost savings and efficiency improvements [8][19] - The service has assisted over 4,500 overseas Chinese and processed more than 2,800 cross-border matters, saving over 410 million yuan in costs [8][19] - A collaborative approach among various departments has streamlined project approval processes, reducing the time required for project implementation by 32% [8][19] Group 6 - The Huanjiang District has implemented a "four-dimensional work method" to enhance the quality and efficiency of administrative services, focusing on project construction and approval processes [9][20] - The integration of services has led to a 100% increase in approval efficiency for specific projects, with significant reductions in processing times and paperwork [9][20] - The district aims to create a "no-proof city" by maximizing the use of electronic documents, achieving a 99% online processing rate [9][20]
一线见闻丨数据破壁垒 办证不停运!海上运输跑出“加速度”
Core Viewpoint - The news highlights the advancements in the maritime logistics sector in Xiamen, particularly through the implementation of a "single window" system that streamlines the process for ships entering and leaving the port, significantly improving efficiency and reducing operational delays. Group 1: Policy and Infrastructure Development - The "14th Five-Year Plan" emphasizes the need to eliminate barriers to the construction of a unified national market and improve logistics rules and standards [1] - The Fujian transportation department is actively breaking down information silos and promoting cross-departmental data sharing to create efficient maritime logistics channels [1] Group 2: Technological Innovations - The "single window" system allows for real-time tracking of vessels and facilitates the rapid processing of shipping documents, reducing the time required for declarations to just a few minutes [2][5] - The system has developed 33 modules with over 80 functions to better meet the needs of enterprises [7] Group 3: Economic Impact - In the first three quarters of the year, Fujian's export shipping reached 15.17 billion yuan, a year-on-year increase of 45.4%, marking a historical high for the same period [10] - The "single window" system has enabled companies to save significant time and costs, with the potential to reduce operational losses for shipping companies [30] Group 4: Service Optimization - The "non-stop operation for certificate processing" service allows ships to complete necessary documentation without halting operations, significantly reducing downtime and associated costs [13][30] - The time required for processing certificates has been reduced from 28 days to as little as 8 days, with some certificates being processed on the same day [32]
四措并举消除三地营商环境“温差”
Sou Hu Cai Jing· 2025-12-06 19:03
Core Viewpoint - The collaborative development of the business environment in the Beijing-Tianjin-Hebei region is crucial, with three major shortcomings identified that need to be addressed to enhance the overall business environment [1] Group 1: Shortcomings in Business Environment - There are significant discrepancies in service standards and quality across the three regions, leading to varied experiences for enterprises [1] - Data barriers remain unbroken, creating a "digital divide" that hampers efficiency [1] - Insufficient coordination in industrial policies results in fragmentation, negatively impacting overall competitiveness [1] Group 2: Recommendations for Improvement - A comprehensive standardization initiative should be led at the national level or through regional collaboration, focusing on market access, qualification licensing, government services, and regulatory enforcement [2] - Establish a "Beijing-Tianjin-Hebei Business Environment Experience Officer" system to allow entrepreneurs and business association representatives to provide feedback and identify discrepancies [2] - Create a joint training mechanism for law enforcement personnel to unify enforcement concepts, standards, and scales, enhancing the consistency of grassroots execution [2] Group 3: Data Sharing and System Integration - Prioritize breaking down data barriers by jointly constructing a "Beijing-Tianjin-Hebei Government Service Cloud Platform" to facilitate data sharing and business collaboration [2] - Expand the application scope of electronic certificate mutual recognition, ensuring that high-frequency electronic documents are universally accepted across the three regions [2] - Revolutionize cross-province business processes around the entire lifecycle of enterprises, achieving seamless operations [2] Group 4: Institutional and Organizational Support - Strengthen high-level coordination at the provincial and municipal levels by establishing a joint meeting system for optimizing the business environment [3] - Encourage innovative pilot projects in key areas such as Beijing's sub-center, Tianjin's Binhai New Area, and Hebei's Xiong'an New Area to test and promote integrated business environment practices [3] - Develop an integrated evaluation system based on enterprise satisfaction to regularly assess and publicly report on the business environment [3]
北京市工商联副主席李志起:四措并举消除京津冀营商环境“温差”
Sou Hu Cai Jing· 2025-12-05 14:14
Core Viewpoint - The collaborative development of the business environment in the Beijing-Tianjin-Hebei region is crucial for its advancement, with three major shortcomings identified that need to be addressed to eliminate the "temperature difference" in the business environment across the three areas [1][3]. Group 1: Shortcomings in Business Environment - There are discrepancies in service standards and quality, leading to varied experiences for enterprises, which increases compliance costs and risks for businesses operating across regions [3]. - Data barriers remain unbroken, creating a "digital divide" that hampers efficiency, as the lack of interconnected government information systems results in difficulties for businesses in cross-regional operations [3][6]. - Insufficient collaboration on industrial policies leads to fragmented competition, causing resource misallocation and market segmentation, which undermines the overall competitiveness of the region [5]. Group 2: Recommendations for Improvement - Implement a unified standardization approach across the three regions, focusing on aligning rules and standards for market access, licensing, and regulatory services [5][9]. - Establish a "Beijing-Tianjin-Hebei Business Environment Experience Officer" system to gather feedback from entrepreneurs and business associations, helping to identify and resolve discrepancies in service quality [5]. - Develop a joint training mechanism for law enforcement personnel to standardize enforcement practices and improve the consistency of service delivery [5][8]. Group 3: Data Sharing and System Integration - Prioritize the construction of a "Beijing-Tianjin-Hebei Government Service Cloud Platform" to facilitate data sharing and business collaboration, ensuring secure and orderly sharing of foundational data [6]. - Expand the application of electronic certificate recognition to enhance the interoperability of high-frequency electronic documents across the three regions [6]. - Revolutionize business processes related to the entire lifecycle of enterprises to achieve seamless cross-regional operations [6]. Group 4: Institutional Mechanisms and Evaluation - Establish a regular tripartite coordination mechanism to enhance institutional and organizational support for optimizing the business environment [8]. - Create an integrated evaluation system based on enterprise satisfaction to assess the business environment and ensure transparency in policy dissemination [9]. - Develop a centralized platform for policy information to improve accessibility and understanding of regional policies affecting industries and enterprises [9].