张勇 "【提示】2025第八届年度金猿颁奖典礼将在上海举行，此次榜单/奖项的评选依然会进行初审、公审、终审三轮严格评定，并会在国内外渠道大规模发布 传播欢迎申报。 作为金融科技领域二十多年的从业者，从最初的数据仓库建设，到如今AI大模型与Data Agent的浪潮涌动，我亲历了数据从"资源"到"资产"再到"智能生产 力"的深刻蜕变。站在新十年的起点，AI大模型的爆发式增长为行业带来新变量，AI Infra与Data Agent的协同进化，正重塑大数据产业的发展格局，也为 金融数据应用开辟了全新赛道。 我的职业历程与数据技术发展同频。大数据上升为国家战略之初，我便意识到数据将成为金融行业的核心竞争力。彼时，银行业面临传统IT架构老旧、数 据孤岛林立、业务响应滞后等痛点。 在莱商银行的十五年间，主导百余个软件开发项目，完成老账务核心向新核心的重大切换，搭建"ESB交易整合+数据仓库数据整合"基础架构体系。面对 当时数据散落在各系统、标准不一的"孤岛"困境，我牵头推动建立全行统一数据治理规范与质量考核机制，明确数据权责、搭建监控体系，提升数据准确 率。 随着平台成熟，我的工作重心从"建平台"转向"用数据"。担任部门 ...

Core Viewpoint - The meeting emphasized the importance of aligning foreign exchange management with the directives from the Central Economic Work Conference and the National Financial System Work Conference, focusing on enhancing economic work for 2026 and beyond [1][3][4]. Group 1: Economic Context and Goals - The year has been significant, with the Chinese government successfully navigating economic challenges, achieving key development goals, and preparing to conclude the "14th Five-Year Plan" [2]. - The year 2026 marks the beginning of the "15th Five-Year Plan," making effective economic management crucial [3]. Group 2: Key Focus Areas for Foreign Exchange Management - Enhance high-quality development by reforming bank foreign exchange operations and facilitating cross-border trade and investment, with a focus on supporting technological innovation and small and medium-sized enterprises [3]. - Expand high-level institutional openness in the foreign exchange sector, aligning with international trade rules and improving foreign investment management [3]. - Maintain stable operation of the foreign exchange market by ensuring the stability of the RMB exchange rate and balancing international payments [3]. - Strengthen regulatory oversight using advanced technologies like AI and big data to combat illegal activities in the foreign exchange sector [3]. - Improve management of foreign exchange reserves to ensure asset safety and value appreciation [3]. - Reinforce the leadership of the Communist Party in foreign exchange management and promote strict governance practices [3].

Core Viewpoint - The meeting led by Zhu Hexin emphasized the importance of expanding high-level institutional openness in the foreign exchange sector while ensuring effective management and aligning with international trade rules [1][2][3]. Group 1: Economic Work and Policy Direction - The meeting conveyed the significance of Xi Jinping's speech at the Central Economic Work Conference, which outlines the economic work for 2026 and beyond, providing a clear direction for future economic policies [2][3]. - The meeting highlighted the achievements of the current year, attributing success to the leadership of the Communist Party and the guiding principles of Xi Jinping's thought [2][3]. Group 2: Foreign Exchange Management Focus - The foreign exchange management department is tasked with enhancing the vitality of high-quality development by reforming bank foreign exchange operations and facilitating cross-border trade and investment [3][4]. - There is a commitment to steadily expand high-level institutional openness in the foreign exchange sector, aligning with international standards and optimizing policies for free trade zones and ports [3][4]. - Maintaining a stable foreign exchange market is crucial, with a focus on macro-prudential management and ensuring the RMB exchange rate remains stable at a reasonable level [3][4]. Group 3: Regulatory and Leadership Enhancements - The meeting emphasized the need for improved regulatory measures using advanced technologies like AI and big data to combat illegal activities in the foreign exchange sector [4][5]. - There is a focus on enhancing the management of foreign exchange reserves to ensure asset safety and value preservation [5]. - Strengthening the Party's leadership in foreign exchange management is essential, with ongoing efforts to promote strict governance and build a high-quality professional team [5][6].

Core Viewpoint - The signing of the memorandum aims to enhance cooperation between China and Singapore in building a digital land-sea new corridor, focusing on digital transformation to create a future-oriented smart economic corridor [1] Group 1: Digital Connectivity - The three parties will focus on digital connectivity, promoting the cross-border secure and orderly flow of data through the interconnection and cooperation of digital infrastructure under a framework of digital rules [1] - The goal is to explore the construction of an efficient, convenient, and secure digital channel [1] Group 2: Digital Technology and Innovation - There will be encouragement and support for joint research and application cooperation between enterprises and research institutions in both countries in areas such as artificial intelligence, blockchain, and big data [1] - The collaboration will also include sharing experiences and achievements in smart city construction [1] Group 3: Digital Talent Exchange and Training - The memorandum includes plans for strengthening the training of professional talents in the digital field through seminars, skill certification, and talent exchange programs [1] - This initiative aims to provide solid talent support for the development of the digital economy [1]

| | 都在用的商业查询工具 | 夏公司 童老板 音关系 | 童风险 | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | | | 家中小企业发展子基金旗下机构 | 内蒙古大数据产业发展集团有限公司 | | × | 天眼一下 | 一五周元 | 商务合作 | | 基本信息 76 | 法律诉讼 | 经营风险 | | 经营信息 394 | | 公司发展 56 | 知识 | | 变更记录 36 2 ● | | | | | | | 变更项目 - | | 变更日期 序号 | 变更项目 | | 变更前 | | | | | | 1 2025-12-12 | 注册资本变更(注册资 金、资金数额等变更) | 20000万人民币 | | | | 80000万人民币 ( + 300% ] | | | 都在用的向业查询工具 | 重公司 直老板 | 童关系 查风险 | | | | | | | 国家中小企业发展子其金旗下机构 | 内蒙古人数据产业发展集团有限公司 | | × 天眼一下 | 脂 应用 ▼ | | 商务合作 企业级产品、 ■ 开通会员, @ | 1 3 | | ...

Core Insights - Beike's subsidiary, Beihome, has launched a C2M full-chain solution aimed at transforming the real estate market by better aligning housing supply with market demand [1] - The real estate market is shifting from a seller's market to a buyer's market, with second-hand home transactions in key cities rising to approximately 73%, and in some cities exceeding 80% [1] - The C2M model leverages big data and AI to analyze customer needs and predict housing price trends before project development, providing solutions for product positioning, unit mix, and pricing strategies [1] Industry Trends - The real estate market is experiencing a significant transition, characterized by longer decision-making cycles for buyers and an increase in property viewings [1] - The supply of housing continues to grow, indicating a shift in the supply-demand relationship within the market [1] - Beihome has implemented 17 projects in major cities such as Beijing, Shanghai, and Guangzhou, collaborating with notable developers like China Overseas Land & Investment and China State Construction Engineering [2] Challenges - Experts highlight that the C2M model may face common challenges such as funding pressures, supply chain integration, and brand competition, which could be exacerbated in the real estate sector due to its high product value and complex supply chains [2]

Group 1 - The core focus of the upcoming 6th International Conference on Social Computing (ICSC 2025) is on how intelligent technology can serve daily research needs, highlighting the urgency of practical exploration in the field of embodied intelligence [1][4] - The conference will take place from December 12 to December 13, 2025, at Fudan University, with support from Shanghai Lingyan Future Intelligent Technology Co., Ltd. and its brand Kaobomao, aiming to bridge theory and practice for doctoral students [1][4] - The forum will emphasize the integration of academic and industrial sectors, promoting innovation in embodied intelligence within research and higher education in China [4][7] Group 2 - Key discussions will revolve around the theme "The Future is Here: High-Level Doctoral Transformation Driven by Big Data and Large Models," with Kaobomao participating to enhance research efficiency through a combination of theory and practical applications [7] - Practical examples shared include a "three-step method for large model-assisted paper writing," a "low-cost tool list for big data analysis," and "autonomous data collection with intelligent experimental equipment," showcasing the long-term accumulation of knowledge in the research education sector [7] - Shanghai Lingyan has established a robust academic exchange and resource connection system, with Kaobomao providing comprehensive doctoral guidance and academic achievement solutions, becoming a trusted partner for research students [7]

经济观察网广西壮族自治区工业和信息化厅近日印发《广西培育先进制造业集群行动方案》。其中提 出，推动智能化数字化升级。深入实施"人工智能+制造"行动，深化人工智能、数字孪生、云计算、大 数据等数字技术的集中应用，发展智能机器人、具身智能、智能家居等智能产品，在集群内重点领域打 造一批应用场景和工业高质量数据集。加快建设中国-东盟人工智能创新合作中心、中国-东盟人工智能 工业设计中心等创新服务平台。推动集群式数字化转型和链式数字化转型，建设行业工业互联网平台， 促进中小企业上云用数赋智。鼓励建设供应链信息服务平台，发展数字化管理、平台化设计、个性化定 制、网络化协同、服务化延伸等新业态新模式，创建一批数字化车间、智能工厂。 ...

Core Viewpoint - The China Urban Credit Construction Summit Forum emphasizes the importance of innovative credit application scenarios to drive high-quality development in the credit system, advocating for a comprehensive ecosystem supported by government guidance, market dynamics, and social collaboration [1][5]. Group 1: Credit Construction Framework - The essence of credit work is encapsulated in the "53324" framework, which includes five types of entities (government, market participants, social organizations, individuals, and judicial bodies), three categories of obligations (legal, contractual, and voluntary), and three stages (credit acceptance, evaluation, and utilization), supported by incentives and penalties across four dimensions (system, technology, application, and culture) [2]. - The statement "no scenario, no credit" highlights that credit must be embedded in specific scenarios to effectively reduce transaction costs, optimize resource allocation, and mitigate market risks [2]. Group 2: Current Characteristics of Credit Application - Current characteristics of credit application in China include: - Public sector applications outperform market applications - Industries with top-level design show more significant results - Punitive applications are more effective than incentive applications - Specific scenarios are preferred over universal scenarios - Corporate perception is stronger than individual perception - Urban credit is superior to rural credit - Eastern regions outperform central and western regions - Economic scenarios are prioritized over social scenarios - Institutional development in applications is favored over cultural development - Credit regulation is prioritized over credit services - Existing issues include insufficient breadth and depth, imbalanced development, and a lack of diverse scenarios, leading to an incomplete and unsustainable ecosystem [2]. Group 3: Recommendations for Credit Scene Innovation - Eight recommendations for building a credit scene innovation ecosystem include: - Accelerating the credit legislation process to solidify institutional foundations - Enhancing data collection and sharing quality to enrich data elements, focusing on market credit data integration - Promoting integrated credit platform services using technologies like big data, AI, and blockchain for precise credit profiling and dynamic monitoring - Expanding market-oriented, inclusive, and personal credit scenarios, including the promotion of personal credit scores - Facilitating cross-regional, cross-sector, and cross-industry credit scenario interoperability - Accelerating the cultivation of credit service institutions and encouraging collaborative innovation - Upholding data security and compliance to prevent credit misuse - Strengthening the promotion of integrity culture to foster a societal ethos of "knowing, keeping, and using credit" [3]. Group 4: Forum Overview - The China Urban Credit Construction Summit Forum serves as a high-level exchange platform for social credit system construction, focusing on cutting-edge topics in credit development, and has successfully held multiple sessions [5].

人民财讯12月15日电，广西壮族自治区工业和信息化厅近日印发《广西培育先进制造业集群行动方 案》。其中提出，推动智能化数字化升级。深入实施"人工智能+制造"行动，深化人工智能、数字孪 生、云计算、大数据等数字技术的集中应用，发展智能机器人、具身智能、智能家居等智能产品，在集 群内重点领域打造一批应用场景和工业高质量数据集。加快建设中国—东盟人工智能创新合作中心、中 国—东盟人工智能工业设计中心等创新服务平台。推动集群式数字化转型和链式数字化转型，建设行业 工业互联网平台，促进中小企业上云用数赋智。鼓励建设供应链信息服务平台，发展数字化管理、平台 化设计、个性化定制、网络化协同、服务化延伸等新业态新模式，创建一批数字化车间、智能工厂。 ...