据了解，蚂蚁数科的风控特征智能体能够辅助人类专家挖掘海量数据的高价值特征，解决传统模式中高 度依赖专家经验、积累周期长、试错成本高的痛点，由智能体去"激发灵感"，可实现特征挖掘效果突破 专家个人经验，最高实现模型性能提升32%。蚂蚁数科的风控建模智能体能够依托大模型的意图识别和 任务规划能力，自主构建建模流程，可实现最少一句指令完成理想建模，将建模耗时缩短30%，且建模 效果比肩人类专家。 "此次合作将推动百望股份的智能体平台，从'数据汇聚与治理'的1.0阶段，直接跃升至'具备金融级可靠 性与业务理解力的数据智能自主生成'的2.0阶段。这不仅有助于提升企业运营效率，也将为客户在合 规、风控及经营决策等方面提供更精准和高效的智能支撑。"百望股份CTO王志伟表示。 近日，百望股份与蚂蚁数科正式达成合作。双方将充分整合各自核心优势，推动大模型技术与海量数据 的深度融合及创新应用，加速数据价值释放，共同打造AI时代的"数据智能基础设施"新范式。 作为国内领先的数据智能服务商，百望股份在行业深耕多年，已累积处理超231亿张交易凭证，沉淀超 千万亿级数据，服务覆盖2850万企业客户的多元场景实践。目前，百望股份已构建起覆 ...

据了解，蚂蚁数科的风控特征智能体能够辅助人类专家挖掘海量数据的高价值特征，解决传统模式中高 度依赖专家经验、积累周期长、试错成本高的痛点，由智能体去"激发灵感"，可实现特征挖掘效果突破 专家个人经验，最高实现模型性能提升32%。蚂蚁数科的风控建模智能体能够依托大模型的意图识别和 任务规划能力，自主构建建模流程，可实现最少一句指令完成理想建模，将建模耗时缩短30%，且建模 效果比肩人类专家。 "此次合作将推动百望股份的智能体平台，从'数据汇聚与治理'的1.0阶段，直接跃升至'具备金融级可靠 性与业务理解力的数据智能自主生成'的2.0阶段。这不仅有助于提升企业运营效率，也将为客户在合 规、风控及经营决策等方面提供更精准和高效的智能支撑。"百望股份CTO王志伟表示。 蚂蚁数科是蚂蚁集团旗下科技业务子公司，专注企业级AI及Web3服务。旗下企业级智能体平台Agentar 凭借全栈技术能力与丰富产业实践入选IDC中国智能体开发平台领导者。目前，蚂蚁数科在风控、营 销、数据分析等企业核心经营场景，推出超百个智能体联合解决方案，助力大模型在产业的规模化应用 与业务价值实现。 近日，百望股份与蚂蚁数科正式达成合作。双方将充分 ...

2025年，微风企正式推出Wbit企业级AI平台，以"深寻"大模型为核心，为企业搭建持续可持续进化的"超级大脑"。该平台不仅可以为每一家企业构建业务决 策大脑，生成专属的"数字员工"，辅助风控、营销、财务、采购等决策；还能连接产业链上下游，构建协同共生的智能体商业网络，实现高效自动的业务匹 配与交易。 本轮融资由杭州市上城区国有资本运营平台——上城资本集团领投，老股东华孚时尚持续加注。此次融资不仅体现了国有资本对微风企在数据智能与企业服 务领域技术实力、市场前景及社会价值的高度认可；也展现了老股东对企业持续发展的坚定信心；共同预示着微风企在"数据+AI"领域迈入新发展阶段。 本次融资是微风企自成立以来获得的又一次重要资本加持。上城资本集团作为杭州市上城区唯一的区属国有资本运营平台，注册资本达100亿元，合并资产 总额近2000亿元，拥有国内最高信用评级AAA，并已在人工智能、智能终端、低空经济等前沿赛道深度布局。其投资微风企，不仅是对微风企技术实力与 商业模式的肯定，更是国有资本与科技企业协同探索"数据要素+服务"生态的重要一步。 自2018年成立以来，公司始终以"为商业社会提供智能化解决方案"为使命，专注于 ...

Core Insights - The report by the China Academy of Information and Communications Technology highlights China's potential to become a leader in data intelligence services due to its vast industrial system, abundant data resources, and government support [1][2] Group 1: Industry Characteristics - The data intelligence service industry is characterized by four main features: data-driven elements, intelligent paradigm leadership, service scenario integration, and value cycle enhancement [2] - Data as a core production factor drives industry upgrades and innovation, marking a shift from process-driven to intelligence-driven development [2] Group 2: Business Models - The industry has developed four primary business models: platform-based, scenario-based, subscription-based, and collaborative [3] - The platform-based model connects data providers, technology service providers, and industry demand, creating an efficient ecosystem [3] - The scenario-based model offers comprehensive custom services from demand research to continuous iteration, aligning closely with actual business needs [3] Group 3: Future Outlook - Future developments in the data intelligence service industry are expected to feature modular and loosely coupled technical architectures, with more flexible innovations [3] - Application models will transition towards vertical and value-oriented approaches, with a focus on high knowledge and high value characteristics [3] - Security governance will evolve to a multi-level and holistic trend, with a clearer business orientation [3] Group 4: Supporting Resources - The "Data Intelligence Service Industry Map (2025)" provides a framework covering key aspects such as data infrastructure, governance services, development frameworks, algorithms, multi-industry applications, and industry carriers [3]

Group 1 - The core viewpoint of the event is that the data intelligence industry is enhancing overall factor productivity and supporting the development of new productive forces in China [1] - The China Academy of Information and Communications Technology (CAICT) has established a foundational infrastructure for trusted data circulation, represented by industrial internet identification resolution networks and blockchain technologies, facilitating cross-system, cross-industry, and cross-regional data utilization [1] - CAICT plans to focus on four directions to promote high-quality development of the digital economy: building data infrastructure centered on data circulation, creating a data application system based on high-quality datasets, developing a multi-dimensional evaluation system supported by full-chain standards, and exploring international cooperation through product digital passports [1] Group 2 - A data intelligence service industry map was released at the event, structured around a core framework of "infrastructure layer - technology layer - application layer - support layer," covering key aspects such as data infrastructure, data governance services, underlying development frameworks, model algorithms, multi-industry applications, and industrial carriers [2] - The "Spark Identification ×" ecological cooperation product authorization plan was launched, focusing on the integration of identification and data, aiming to empower 100 enterprises with 500 high-quality "identification × data" integrated application products, promoting large-scale application in key industries and scenarios [2]

数据成为智能"养料"，可信底座支撑数智飞轮转动 产品数字护照服务能力分级评测体系落地树立行业服务能力"标尺" 随着产品数字护照成为重塑国际贸易规则的关键载体，行业标准缺失、技术路线分散等问题逐渐凸显， 对此中国信通院工业互联网与物联网研究所数据与智能业务部副主任李胡升正式发布并解读《产品数字 护照服务能力（DPPaaS）分级评测指标体系1.0》，为行业发展提供统一"标尺"。 12月13日，2026深度观察数据智能产业创新发展专题报告会在京召开。会议聚焦数据要素与智能技术深 度融合的新路径，集中发布了数据智能服务产业研究、产品数字护照服务能力（DPPaaS）分级评测指 标体系、以及"星火·链网"在优品码与文化数据资产化等领域的最新实践成果。中国信息通信研究院 （下称"中国信通院"）多位专家指出，我国数据基础设施正加速完善，产业范式从"可用"向"好用"升 级，并通过标准建设与国际合作积极参与全球数字治理。 当前，人工智能与数据要素的协同效应正加速释放，数智融合已成为产业发展的核心主线。中国信通院 副院长王志勤指出，人工智能迎来跨越式发展，技术通用性不断显现，新范式也在确立，数据作为非常 重要的新的生产要素，为人工 ...

林镇阳认为，数据要素市场的重心正从"量的积累"全面转向"质的提升"。在他看来，未来理想状态是： 在AI驱动下实现数据的"自循环"——通过大模型训练、推理与区块链等技术构建完整的AI数据生态闭 环，实现从上游供给、中游流通到下游应用的全链条联动。人工智能技术的不断突破，推动了对高质量 数据的迫切需求。 AI技术普及重塑生产关系 2025年12月10日，由《中国经营报》主办的2025中国数据要素高质量发展论坛在北京成功举办。 软通智慧数据科技（北京）有限公司（以下简称"软通智慧"）数据要素首席科学家、副总裁林镇阳在论 坛演讲时表示，未来解决企业的数智化发展，核心在于扎实推进企业的数据工程，尤其是面向AI的数 据工程。不管是AI成熟度高的科技厂商、信息化基础较好的服务型企业，或传统农业、工业制造领域 的主体，均需要发展智能经济的数据"养料"。 在他看来，高质量数据供给与场景化AI应用是数据要素价值落地的关键。数据不仅是AI的"原料"，AI 也是数据价值的"驱动力"；未来将形成AI驱动的数据开发、价值实现与生态完善的自循环。 高质量数据采集和获取成为门槛 《"数据要素×"三年行动计划（2024—2026年）》明确指出 ...

Core Insights - The 2025 Brand Credit Construction Forum was held in Hainan, focusing on the theme "Credit Empowering Brands: New Three Transformations" [1] - Baiwang Co., a leading data intelligence service provider in China, has achieved significant results in enhancing financial services for the real economy through its financial business intelligence [1] Group 1: Company Developments - Baiwang Co. is leveraging data intelligence as a core engine for new productive forces, driving high-quality economic development [1] - The company has developed the TAX-SWIFT platform to assist Chinese enterprises in overseas markets, addressing compliance challenges in cross-border operations [1] - The TAX-SWIFT product offers an integrated solution for compliance, featuring multi-language intelligent recognition, real-time compliance verification, and automatic cross-border tax calculations [1] Group 2: Market Reach and Future Plans - Baiwang Co. has established a product matrix that includes "Jinshun Transaction Intelligence," "Wenshu Business Decision Intelligence," and "Ruijie Financial Intelligence," covering various high-frequency scenarios [2] - The company serves over 2,800 large group enterprises across more than 20 industries, including banking, manufacturing, logistics, and automotive [2] - Future plans include deepening the application of the TAX-SWIFT platform in regions such as the Middle East, Africa, Southeast Asia, and Latin America, aiming to link global markets through compliance services [2]

Core Viewpoint - The announcement of a share reduction plan by a major shareholder of Xintonglian (603022) indicates ongoing financial challenges and strategic shifts within the company, particularly following a failed restructuring effort [1] Group 1: Shareholder Actions - On November 7, Xintonglian announced that its major shareholder, Bibang Investment, plans to reduce its holdings by up to 6 million shares, representing no more than 3% of the total share capital, between November 28, 2025, and February 28, 2026 [1] - Bibang Investment currently holds 14.90 million shares, accounting for 7.45% of Xintonglian's total share capital [1] - Less than three months prior, Bibang Investment had already reduced its stake by 3% [1] Group 2: Historical Context - Since 2021, Bibang Investment has sold shares at a loss, having acquired 18.45% of the company for over 400 million yuan at a price of 11.34 yuan per share from the controlling shareholder [1] - The company has seen multiple instances of share reductions below the acquisition cost since 2022 [1] Group 3: Company Strategy and Market Position - The decision to sell shares is attributed to the shareholder's personal financial needs, and the company has not continued investments in intelligent data services following a failed restructuring [1]

Core Viewpoint - Dipu Technology has achieved significant success in its H-share global offering, setting a record for oversubscription in the Hong Kong market, indicating strong investor interest in the company despite ongoing financial losses [1][2] Group 1: IPO and Market Performance - The Hong Kong public offering of Dipu Technology was oversubscribed by 7569.83 times, with approximately 270 billion HKD in frozen funds, breaking the record for oversubscription in the Hong Kong main board [1] - The company listed on October 28, opening with a 112% increase and closing with a 151% rise [1] - A total of 26.632 million H-shares were issued, with 20% allocated to the Hong Kong public and 80% to international investors, at an issue price of 26.66 HKD per share, raising approximately 609.8 million HKD [1] Group 2: Financial Performance - Dipu Technology's revenue for 2022, 2023, and 2024 is projected to be 100 million, 129 million, and 243 million CNY respectively, with gross profits of 29.56 million, 51.77 million, and 126 million CNY [1] - Despite revenue growth, the company reported net losses of 655 million, 503 million, and 1.255 billion CNY for the same years, with a loss of 308 million CNY in the first half of the current year [1][2] - The increase in losses for 2024 is attributed to factors such as share-based payment expenses and changes in the fair value of preferred shares, leading to a projected loss of 1.25 billion CNY, exceeding total revenue for the year [2] Group 3: Investment and Future Plans - Major shareholders of Dipu Technology include Hillhouse Capital, Wuyuan Capital, and IDG, indicating strong backing from prominent investment firms [2] - The funds raised from the IPO will be used to enhance research and development capabilities, expand the sales network and customer base in China, support overseas business expansion, and for general corporate purposes, including potential investments and acquisitions [2]