Group 1 - The event on "data assetization" was successfully held, enhancing the understanding of data assets among over twenty participating companies in the Shenzhen-Shanwei Special Cooperation Zone [1] - The expert emphasized that we are in an era of explosive data growth, where data is recognized as the fifth key production factor alongside land, labor, capital, and technology [3] - The cultivation of a data factor market and acceleration of data value transformation are crucial for the high-quality development of the digital economy [3] Group 2 - The expert addressed the practical challenges companies face in the process of data asset recognition and accounting, providing insights into relevant policies and compliance points [3] - A standardized solution for data asset recognition was introduced, showcasing how to transform data resources into measurable, tradable, and financeable assets [3] - The event facilitated discussions on data governance, rights assessment, cost aggregation, and practical implementation, with particular concerns raised by representatives from the water, electricity, and gas supply sectors [4]

Core Insights - The rapid development of the digital economy has highlighted the value of data as a new production factor, now recognized as the "fifth production factor" following land, labor, capital, and technology [2] - China's data output accounts for 10.5% of the global total, with a national action plan aiming for a compound annual growth rate of over 15% in the data industry by 2029 [2][3] - The establishment of data industry funds across provinces is accelerating, driven by government policies to enhance the marketization of data elements and support digital economic transformation [3][4] Data Industry Fund Growth - By June 2025, the total scale of data industry funds across provinces exceeded 150 billion yuan, a significant increase from less than 50 billion yuan in 2023, indicating strong governmental support for the data element market [4][5] - The growth of data industry funds is characterized by a shift from pilot projects to large-scale implementations, with notable funds established in 2023 focusing on diverse investment directions [7][10] Regional Development Patterns - Eastern coastal provinces are leading in fund establishment, with Guangdong's fund group reaching a total scale of 100 billion yuan, making it the largest known single data industry fund in China [13][14] - Central provinces like Henan and Hubei are catching up by focusing on integrating data elements with traditional industries, emphasizing application-driven characteristics [16][17] - Western provinces are leveraging national strategies like "East Data West Calculation" to enhance their data infrastructure, focusing on foundational projects and spatial data facilities [19][20] Investment Strategies - Investment directions are diversifying, moving from traditional infrastructure to include data assetization, cross-border data flow, and privacy computing [21][33] - Funds are increasingly aligning with national strategies, such as the Chongqing fund's focus on satellite internet and the Guangdong fund's emphasis on cross-border data flow [21][22] Challenges and Considerations - The rapid expansion of provincial data industry funds presents challenges, including the need for effective project conversion and the risk of homogeneous competition among provinces [34][35] - Compliance and security governance are critical, especially for funds involved in cross-border data flow, necessitating a balance between innovation and regulatory adherence [34][35]

在泰安，数据要素正深度融入千行百业，打造多个应用场景。上线"信用精准画像"等数据产品，赋能银 行信贷业务。"寿比泰山"智慧养老服务平台整合51家养老服务机构和商家进驻。"泰山+畅游天下"平台 整合票务、酒店等数据资源，形成"一部手机游泰山"服务生态。以齐鲁银行（601665）、农商行等金融 机构为试点，探索开展数据资产质押融资。"泰山易停"平台提供停车服务近700万人次。打造恒信高科 智慧配煤系统等200多个"数据要素×"场景，全面释放数据要素乘数效应。 为确保改革行稳致远，泰安构建起"技术+制度"双重保障体系。泰安市委、市政府成立数据产业化工作 专班，出台《关于加快数据要素资产化的实施意见(试行)》《泰安市公共数据开发利用管理办法(试 行)》，率先构建了公共数据价值化实现路径。试点推进可信数据空间建设，应用隐私计算等技术，确 保"原始数据不出域，数据可用不可见，数据可控可计量，数据可溯可审计"。加快壮大数据标注产业， 集聚30余家数据标注企业，初步构建起从数据采集、清洗、标注到大模型训练应用的全流程产业链条。 (李雪) 中国发展网讯近年来，泰安市以数据要素市场化配置改革为主线，围绕"数据资源整合、要素流通配 ...

Core Insights - The recent "Digital Cloud Force 2025·AIxFinTech Parallel Forum" hosted by Digital China Information Service Group focused on AI empowerment in the financial sector, addressing topics such as smart core, credit innovation, financial cloud services, electronic channel evolution, and data asset transformation [2] Group 1: AI and Digital Transformation - The launch of the "Smart Brain" enterprise-level solution integrates data assets with AI technology, aiming to create a digital operation hub that enhances decision-making and operational capabilities [2] - The solution signifies a shift from mere technical application to a management revolution in enterprise intelligence [2] Group 2: Software Development and Collaboration - The future of software development in the financial industry is envisioned as a collaboration between human modelers and AI programmers, with a focus on creating a unified digital platform across the enterprise [2] - The modeling process platform introduced by the company is seen as a critical infrastructure for financial institutions to achieve transformation [2] Group 3: Data Governance and AI Integration - Data governance and value transformation are highlighted as focal points in the industry, with a need for high-quality data supply as a foundation for data assetization [3] - The integration of AI with data governance is explored through three main paths: building knowledge bases, accelerating AI deployment in business scenarios, and driving intelligent R&D through data [3]

Core Viewpoint - The company, Yipai Yangguang (2522.HK), is positioned as a leader in the Chinese medical imaging service sector, leveraging AI technology, data assetization, and international collaboration to regain growth momentum, with a target price of HKD 25.61 set by Guosen Securities, indicating strong potential for recovery and expansion [1][3] Group 1: Business Model and Revenue Structure - Yipai Yangguang has established a comprehensive medical imaging ecosystem through three main business segments: imaging center services (79.64% of revenue), imaging solution services (18.09%), and Yipai Cloud services (2.28%), enhancing its resilience and providing diverse growth pathways [1] - The company operates 106 imaging centers across 16 provinces in China, effectively addressing the uneven distribution of medical resources, and plans to add 1,000 partners by 2025 to further increase market penetration [1] Group 2: AI Technology and Data Assetization - Driven by AI technology, the Yipai Cloud platform has significantly improved diagnostic efficiency and accuracy, with the "CT chest lesion annotation data" successfully listed on the Shanghai Data Exchange in April 2025, marking a key step in data assetization [2] - The subsidiary, Yinghe Medical, has developed a medical imaging base model with an accuracy rate exceeding 95%, laying the foundation for a domestic 2.0 era in imaging AI [2] - The company is actively involved in industry standardization, aligning its initiatives with national policies, thereby strengthening its influence in the sector [2] Group 3: International Expansion and Financial Strategy - Yipai Yangguang is accelerating its international expansion by forming the "Yipai Medical Health Technology Alliance" with Meisi Health (2138.HK) to create a global medical technology supply chain platform, with plans to establish model centers in Singapore and Malaysia [2] - The company aims for overseas revenue to account for 30% of total revenue within five years, capitalizing on the cost-effectiveness of Chinese medical services [2] - To support its strategic initiatives, the company recently raised HKD 195 million through a share placement for acquisitions, overseas expansion, and R&D, while also initiating an H-share buyback plan, reflecting management's confidence in long-term value [3]

Core Viewpoint - The government of Tai'an is implementing a data factor value reform, focusing on market-oriented allocation and integration of data resources to enhance economic development and innovation [3][4]. Group 1: Data Resource Integration - Tai'an has established a comprehensive data resource pool, gathering 10.5 billion public data entries with a real-time update rate exceeding 60% [3]. - The city has completed registration and confirmation of 144 data sets across 82 industry departments, and developed 14 high-quality industry data sets, with 6 recognized for provincial awards [3]. Group 2: Market Operation and Data Asset Management - Eight enterprises have been authorized to operate public data in sectors like finance and tourism, with a new model for secondary rights of data products established [4]. - A data asset management service platform has been created, and a regional data asset certification center has been established to support the entire data asset operation process [4]. - A special fund of 5 million yuan has been allocated to support enterprises in data asset registration [4]. Group 3: Application Scenarios and Value Creation - Innovative applications such as "Credit Precision Portrait" and "Shou Bi Tai Shan" smart elderly care platform have been launched, integrating services from various providers [5]. - Financial innovations are being explored, including data asset pledge financing with local banks [5]. - The "Government Insurance Connection" platform has reduced insurance claim processing time to within 24 hours, enhancing public service efficiency [5]. Group 4: Industrial Ecosystem and Policy Support - The municipal government has formed a dedicated task force to ensure the orderly advancement of data value and industrialization [6]. - New policies have been introduced to facilitate the assetization of public data and to establish a clear path for data value realization [6]. - The city is also focusing on building a trusted data space and enhancing the data labeling industry, with over 30 companies involved in the data lifecycle [6].

文 | 钛资本研究院 DeepSeek使算力和算法走向平权，AI场景化商业化应用推动数据资产化加速，数据资产化的前提是合 规，合规的原则是以第三方的客观手段对业务留痕，而符合应用一致性和时间完整性的拷贝数据管理 CDM是AI数据的重要基础设施。 最近，钛资本邀请中国CDM领先厂商云信达科技的创始人张兵进行分享，为大家带来一些AI投资热点 下的"冷思考"。主持人是钛资本郭吉荣，他毕业于南京大学，关注信息技术应用创新、新能源等领域。 以下为分享内容： AI三大基础生产要素 今年春节期间，DeepSeek现象引发了全社会对AI的广泛关注，它不仅刺破了美国股市的泡沫，也标志 着AI技术的普及化。算力和算法，其实在走向平权。 DeepSeek现象消除了算力和算法的神秘感，使得算力和算法走向平权化，为行业和企业提供了实际的 商业价值。AI正在通用化，大举进入越来越多的行业和场景，大模型下一阶段的训练必然触及行业或 企业数据乃至个人隐私数据，数据继算力算法之后成为最稀缺的资源。 数据取代模型成为AI最重要的生产要素，通用人工智能AGI加速了数据资产化，私域数据的全方位、全 流程、资产化管理，以及能够和算力、算法无缝结合，强 ...

Core Insights - The launch of the world's first 5G fully automated smart factory in the water meter industry marks a significant shift towards intelligent, green, and digital manufacturing [1][3][5] - The event was attended by over 200 industry experts and representatives, highlighting the importance of collaboration in advancing smart water management [1][3] Group 1: Industry Context - The water industry is facing urgent demands for digital transformation due to challenges such as low production efficiency, high reliance on manual labor, and data silos [3] - The shift from "experience-driven" to "data-driven" approaches is essential for addressing issues like leakage control, rising operational costs, and service quality improvements [3] Group 2: Company Achievements - San Chuan Wisdom has established itself as a leader in the water meter industry, being the first national-level intelligent manufacturing demonstration enterprise and the first water meter company listed on the Growth Enterprise Market [7] - The company has a history of innovation spanning 54 years, from the first NB-IoT water meter to the current lighthouse factory, driven by standards of automation, information management, AI integration, and data assetization [5] Group 3: Technological Advancements - The new factory boasts a 95% automation rate and energy consumption that exceeds national standards by 20%, showcasing a new benchmark in manufacturing [5] - Advanced technologies such as 5G, AI, and digital twin are integrated into the factory, which not only redefines production standards but also promotes collaborative upgrades across the industry [7] Group 4: Future Directions - San Chuan Wisdom aims to leverage its advantages in smart water meter terminals and data assets to lead the construction of a trusted data space for smart water management [7] - The company plans to deepen its "one body, two wings" strategy, focusing on efficient water resource utilization and contributing to high-quality development in the global smart water management landscape [7]

尽管制造业的数字化已经进行了几年，但市场竞争格局尚未出现任何改变，未来在行业层面、市场打法层 面、产品及服务层面还有巨大的潜力，一切都是未知，一切也都有可能。 1）市场机会层面： 行业层面上， 离散制造业中的高技术产业是高潜力行业；打法层面上，垂直行业攻坚和信创/国产替代行业相对容易出现 领头企业。 2）产品层面： 大模型具有非常强的可探索性，但还处于非常早期的阶段，供需双方都在尝 试。大模型短期对市场竞争格局影响不大，但长期看，当大模型对实际应用场景具有支撑作用能力时，会加 速市场变化，故企业需把握大模型机会。 3）数据层面： 目前市场上数据交易、数据开放的声音出现比较 多，但企业无需纠结是否跟随，重要的是要基于数据（无论是自身数据还是外部数据）构建自己的行业认知 壁垒，即内化数据，完成数据-显性知识-隐性知识构建的完整链条。 需求市 场1 -具有强烈的地域特色 广东、江苏、浙江、山东等是制造业企业数TOP4省份，也是积极打造产业 集 群、 积极试行数字化转型的省份 制造业数字化转型丨 研究报告 核心摘要： 需求端的核心需求没有变，生产制造管理相关、供应链相关等是重点，也是离散制造业的核心诉求 。 只不 过 ...

2025年4月21日，由四川省市场监督管理局主办的"数智赋能·知创未来"发布会在成都隆重举行。 财学堂作为四川省首批获得数据知识产权登记证书的企业，受邀出席，并现场完成四川省数据知识产权 交易项目的首单签约，这一开创性实践，不仅填补了四川省数据知识产权交易空白，更是全国财经教育 领域数据知识产权第一单的成功落地。 签约环节，财学堂与深圳德讯证券顾问有限公司达成合作，标志着四川首个数据知识产权交易项目落 地，同时这也是全国财经教育行业数据资产化的首次成功实践。 这场"从0到1"的突破，标志着四川省数据要素正式从资源储备迈向资产增值的全新阶段，为后续数据资 产登记、交易、金融化探索提供了可复制的实践经验，也为财经教育领域企业数据资产化实践提供了成 功参考。 发布会上四川省市场监督管理局正式启动数据知识产权登记平台运营，并向首批获证企业颁发证书。财 学堂凭借在财经教育领域积累的11项高质量数据知识产权成果，成功入选首批认证企业名单。 作为国内领先的终身财经教育平台，财学堂2015年成立以来，始终致力于构建品类齐全、领域多元的终 身财经教育生态系统，以财经教育为核心，以成人财经教育、职业财经教育为重点发展方向。庞大的 ...