近日，江苏省金融可信数据空间实验室在南京揭牌，标志着江苏在数字金融领域迈出关键一步，为金融 强省建设提供硬核支撑。 为何要建金融可信数据空间实验室？实验室又将做哪些工作？所谓可信数据空间，是基于共识规则，联 结多方主体，实现数据资源共享共用的一种数据流通利用基础设施，是数据要素价值共创的应用生态， 也是支撑构建全国一体化数据市场的重要载体。建设金融可信数据空间，旨在破解数据孤岛与流通壁 垒，助力中小微企业融资，促进数字技术与实体经济深度融合。 江苏省数据局党组副书记、副局长李秀斌表示，实验室要聚焦金融场景创新，提升数据资源交互效能， 激发价值共创活力，筑牢可信管控基础，确保数据流通安全可控。希望以此次揭牌为契机，促进金融数 据活起来、用起来、跑起来，为提升金融服务能效，防范化解风险，孕育产业新生态提供强劲数据动 能。 实验室将从哪些方面为江苏金融强省建设提供硬核支撑？一方面，利用隐私计算、区块链、数据沙箱等 前沿技术，打通数据流通堵点；另一方面，构建"多级共治、权责清晰、安全可控"的跨机构协作网络， 发挥数据要素价值。在此基础上，通过强化数据要素赋能、创新数字金融产品、打造开放协同平台，全 面提升金融服务实体 ...

单志广：解决跨技术路线互通堵点、平衡安全与效率，核心是通过"技术标准化+架构模块化"实现突 破。具体来看，一方面，推动建立统一的技术标准，针对不同技术路线(如联盟链、隐私计算平台等)， 制定统一的跨平台调用接口和数据转换协议，就像为不同型号的设备配备"通用适配器"，让跨技术路线 数据流通无需重复改造。另一方面，打造基于多种技术的融合架构，例如将隐私计算、零知识证明、联 邦学习等技术与区块链服务网络(BSN)的分布式信任底座结合，实现"安全防护不降级、流通效率不打 折"，比如在跨区域政务数据共享中，通过区块链完成身份确权和授权存证，通过隐私计算实现数据"可 用不可见"，既保障安全合规，又避免了线下核验的繁琐流程。 同时，依托国家级平台统筹构建跨区域、跨行业"信任联盟"，通过链上互认减少重复核验，从技术与模 式双重维度打破"信任壁垒"，实现数据安全与流通效率的动态平衡，让数据在安全可控的前提下实现高 效流通。 人民数据：自国家数据局印发《可信数据空间发展行动计划(2024—2028年)》以来，我国可信数据空间 已从概念验证迈入实践落地新阶段，隐私保护计算、区块链等技术成为破解"数据可用不可见"的关键。 日前发布的 ...

Core Insights - Sichuan Province has approved the "14th Five-Year Plan" with the ambitious goal of maintaining an economic growth rate above the national average, presenting both opportunities and challenges for local industries [1] - The plan emphasizes the transformation of manufacturing towards high-end, intelligent, and green development, with a focus on technological innovation and regional coordination [1] - Changhong Holding Group's industrial layout and development strategy align closely with the provincial planning, positioning it as a potential "industry star" in the next five years [1] Group 1: Manufacturing Foundation - Changhong has established a comprehensive manufacturing system covering various processes, including molds, injection molding, and precision electronic components, which is crucial for its competitive edge [4] - The company has achieved significant production milestones, such as over 40 million units of smart home appliances annually and being the global leader in refrigerator compressor shipments for 12 consecutive years [4] - Changhong's commitment to manufacturing is evident in its extensive product range and production capabilities, which are essential for the province's industrial upgrade goals [4][6] Group 2: Industrial Internet and Digital Transformation - Changhong initiated its industrial internet platform in 2017, which has become a key support for its digital transformation and has empowered nearly 3,000 small and medium-sized enterprises [7][9] - The platform utilizes a "data + AI" core to enhance operational efficiency across various industries, significantly improving supply chain collaboration and production processes [9][10] - The company has received over 30 national and provincial honors for its industrial internet initiatives, showcasing its leadership and innovation in the sector [10] Group 3: Green Manufacturing and Sustainability - Changhong has implemented AI technology to achieve substantial carbon reduction, exceeding 50,000 tons annually, and has developed a comprehensive green manufacturing system [11][12] - The company has made significant strides in energy efficiency, such as reducing energy consumption through digital controls and innovative production techniques [12] - Changhong is actively involved in recycling and resource regeneration, with the capacity to process over 14 million discarded electrical appliances annually [13] Group 4: Smart Supply Chain and Collaboration - Changhong has developed a smart supply chain platform that integrates AI to enhance procurement processes, inventory management, and logistics, resulting in improved operational efficiency [15][17] - The platform allows for real-time tracking and automated procurement, significantly reducing approval times and enhancing supply chain resilience [15][17] - The company has successfully transformed its supply chain collaboration model, fostering a digital ecosystem that promotes shared risks and benefits among partners [17][18] Group 5: Future Outlook and Innovation - Changhong has been recognized as a pioneer in the development of a trusted data space, which aims to facilitate data sharing and drive new productivity in the manufacturing sector [18][19] - The company continues to innovate and expand into future industries such as healthcare and robotics, reinforcing its commitment to high-quality development [19] - With over 60 years of experience, Changhong is poised to redefine its growth boundaries and achieve new heights in becoming a world-class enterprise [19]

2025年的中国制造业，经历了一场影响深远的系统性变革。笔者在行走于大江南北的智能工厂与制造前 沿阵地后深刻感受到，人工智能与制造业的融合，已超越"机器换人"的初级阶段，推动着中国智能制造 完成多重跃迁。 第一重跃迁，是从"功能替代"到"系统重构"。智能制造不能简单等同于自动化机械臂或视觉检测的"火 眼金睛"。这一年里，人工智能逐步成为了制造系统的"神经中枢"，可负责调度全局资源、优化复杂流 程，甚至参与创新设计。同时，智能体技术的应用，让AI开始具备自主感知、规划与学习能力，推动 生产线从僵硬的"自动化"走向柔性的"智能化"。 建议各方可在"跨度"上持续发力，推动政策、资本、人才形成更强合力，尤其要加快培育"数字工匠"， 为这场系统变革筑牢人才基石，支撑中国智造承担更大的环境与社会责任。 征途漫漫，行则将至。智能已逐步融入制造业的进化基因。展望即将到来的2026年，一个更智能、更协 同、更可持续的中国制造新图景日益清晰。 （文章来源：证券日报） 第二重跃迁，是从"数据孤岛"到"网络协同"。在过去很长一段时间里，企业内部研发、生产、管理等环 节间的数据壁垒以及产业链上下游的信息割裂，是制造效能提升的主要瓶颈。 ...

Core Insights - The integration of AI in the pharmaceutical industry is revolutionizing drug development, significantly reducing time and costs associated with bringing new drugs to market [2][3] - The global AI drug development market is projected to exceed $6.3 billion by 2029, indicating rapid growth and new opportunities for biopharmaceutical companies [2] Group 1: AI Drug Development Impact - AI can drastically shorten drug development timelines and costs, with traditional drug development taking an average of 10 years and over $1 billion, while AI can reduce this significantly [2] - AI analysis can reduce protein structure prediction time from months to minutes and candidate drug identification from 5 years to 18 months [3] - Companies that leverage AI in drug development may achieve significant market advantages, leading to potential monopolies on innovative products [3] Group 2: Current State in Sichuan - Sichuan has fewer AI drug development companies compared to leading regions, with only three companies in Chengdu focusing on AI drug discovery [4] - 63% of surveyed companies in Sichuan have established their own AI drug development teams, but many are still in the early stages of implementation [5] - The lack of a mature, systematic AI-driven drug development platform is a challenge for companies in Sichuan [5] Group 3: Challenges Faced - Funding is a significant challenge, as the biopharmaceutical industry is characterized by long R&D cycles and high costs, with a decline in investment trends noted in recent years [6] - Data quality and availability are critical issues, with many companies facing difficulties in accessing high-quality datasets necessary for AI applications [7] - The need for a trustworthy data-sharing platform is emphasized, with suggestions for government-led initiatives to facilitate data exchange [8] Group 4: Talent Acquisition - There is a shortage of talent proficient in both AI and drug development, making it difficult for companies to find suitable candidates [10] - Companies are encouraged to collaborate with local universities to develop interdisciplinary programs that combine AI and pharmaceutical sciences [11] - Continuous education and investment in talent development are essential for the growth of the biopharmaceutical sector in Sichuan [11]

权益保护是促进数据流动、实现价值的基础和前提。条例设专章对权益保护作出规定，明确数据处理者 权益，并对处理生成的衍生数据、数据衍生产品权益等作了规定。 深化产业培育是条例的一大特色亮点。条例对制定培育政策、建立企业培育库、分类培育企业、搭建生 态孵化平台等作了规定，对推动各行业数据多维度融合应用作了规定，对支持构建高质量数据集和语料 库，推进人工智能大模型开发和训练作了规定。 《宁波市数据应用促进条例》对培育数据要素市场、促进数据合法高效应用、推动数字经济发展、建设 数字宁波有着重要意义。市人大常委会法工委相关负责人表示："条例具有强化数据应用、突出流通 性，深化产业培育、突出特色性，完善制度保障、突出创新性三大特色。条例制定不仅有助于总结我市 在数据应用领域的改革创新经验，也有利于加快构建数据应用基础制度体系。" 条例以"供得出、流得动、用得好"为目标，以促进数据应用作为立法主线，贯穿数据共享开放、流通交 易、开发利用等全生命周期应用管理体系。条例第十七条明确，公共数据应当以共享为原则、不共享为 例外。市和区(县、市)数据主管部门应当根据国家、省有关规定，对公共数据实行统一目录管理，组织 编制本行政区域公共 ...

证券日报网讯12月19日，数字认证（300579）在互动平台回答投资者提问时表示，公司积极进行前沿技 术研究，在后量子密码技术、可信数据空间等领域持续开展相关技术研究工作。 ...

比如，此次大会上启动的无锡城市可信数据空间，将在城市治理、经济发展、民生保障等领域促进数据 规模化流通应用。锡山区启动民营经济可信数据空间建设，聚焦电动车、汽车零配件、高端纺织服装等 无锡特色产业，加快推动行业数字化转型。深海技术科学太湖实验室启动深远海装备可信数据空间建 设，在海洋科技领域推动深海探测、深海开采、海洋工程装备等场景培育，加快打造深海科技创新策源 地。 为了打造管理服务平台，促进数据有序流动，无锡此次发布了可信数据空间管理服务平台，有助于精准 掌握数据空间运营开发利用情况，加强安全监管，推动数据安全有序流动，也为无锡数据空间商业化运 营和生态繁荣打下坚实基础。会上，该平台迎来它的第一批"数字业主"——无锡市首批可信数据空间， 包括制造业、服务业、政务与公共数据、创新探索类等四大重点方向共20个数据空间试点。 值得一提的是，其中的新药研发、跨境气象导航等7个无锡特色空间已入选省可信数据空间"123+"项目 库，数量居全省第二。 扬子晚报/紫牛新闻记者 张建波 在12月18日举行的无锡市数据产业暨可信数据空间发展推进大会上，无锡发布可信数据空间管理服务平 台，一批可信数据空间正式入驻该平台。 20 ...

Core Insights - Wuxi is advancing its data industry development through the establishment of the "China Digital Port," focusing on systematic layout and application of trusted data spaces [1][4] - The city aims to enhance the market-oriented allocation of data resources, promoting efficient circulation and utilization of data elements [1][4] Group 1: Data Industry Development - A conference was held in Wuxi to promote the development of the data industry, gathering 120 representatives from government, academia, industry associations, and data enterprises [1] - The unveiling of the China Digital Port Data Industry Clusters in New Wu District and Xishan District marks the beginning of significant industrial exploration in data element aggregation and enterprise cultivation [1][2] - The Jiangsu Digital Association's Smart Industry Committee and Wuxi Smart Industry Development Alliance were established to foster collaboration among government, industry, academia, and research [1][2] Group 2: Data Enterprise Recognition - The "Wuxi Data Industry Map" was officially released, identifying 2,100 potential data enterprises in the city, providing a framework for future industrial layout and enterprise cultivation [2] - The first batch of data enterprise cultivation certificates was issued, recognizing 10 companies across six types, including state-owned and private enterprises [2] Group 3: Public Data Initiatives - Wuxi is the first in the province to issue "sample priority coupons" to selected data enterprises, allowing them to access high-quality public data samples for innovation [3] - A list of 28 high-quality public data sets was released, covering various sectors such as healthcare, real estate, and smart agriculture, aimed at empowering AI development [2][3] Group 4: Future Plans and Economic Impact - Wuxi plans to leverage the approval of the comprehensive reform pilot for market-oriented allocation of factors in Suzhou to enhance its data industry ecosystem [4] - By the third quarter of 2025, Wuxi's core digital economy enterprises numbered 2,166, generating revenue of 436.57 billion yuan, leading the province in both development and comprehensive indices [4]

观察者网了解到，这是袁远首次以华为数据存储产品线总裁身份对外亮相，而该产品线前任总裁周跃峰 已担任华为公司高级副总裁、华为云CEO。 12月17日至18日，由下一代互联网国家工程中心主办联合澳门科技大学共同主办的2025全球数据技术大 会（GDTC）在北京举行。华为公司副总裁、数据存储产品线总裁袁远发表《构建先进数据基础设施， 激活AI时代数据价值》主题演讲。 袁远提到，中国已是全球数据大国，但数据语料建设仍面临关键挑战：我国数据留存率仅2.8%，需从 技术层面解决海量数据"存不下"、存储成本高和能耗大等难题；行业高质量数据稀缺，以医疗模型为 例，我国模型训练数据量只有西方领先国家的10%左右；大量城市与企业数据仍储存在"孤岛"上，数据 共享率不足25%；全球年度泄露数据已达惊人的471.6亿条，给各行业带来巨大风险，数据泄露成为当 前数据跨境流动的核心命题。 华为公司副总裁、数据存储产品线总裁袁远发表演讲 以下为袁远演讲全文： 各位嘉宾，大家好！今天大会的主题是"共筑智能时代的新型数据基础设施"。我想借此机会，分享一下 华为在数据基础设施方面的思考与实践，希望能为产业界推进高质量数据集建设、用好AI有所帮助 ...