值得一提的是，"泉融e贷"项目既保持了区域特色数据模式的优势，又融合了工总行标准化风控模型的 特点，为后续拓展应用打下了坚实的基础。未来，该模型将进一步向农业、科创等重点领域延伸，持续 完善授信评估维度，探索数据要素与实体经济深度融合的新路径。 此次获奖标志着济南工行在数据要素应用和普惠金融创新方面迈出了坚实步伐，也为全省乃至全国的金 融科技发展提供了有益借鉴。下一步，济南工行将以此为契机，继续深化与济南财金集团数据要素的深 度应用，持续优化"泉融e贷"产品体系，推动数据赋能金融创新，努力提升服务实体经济的质量和效 益，积极践行金融为民的初心使命，为区域经济高质量发展注入更强动能。 9月8日下午，2025年"数据要素X"山东分赛金融领域决赛结果正式揭晓，济南工行与济南财金集团紧密 协同，代表济南赛区出战，凭借"泉融e贷"这一普惠金融创新产品的卓越创新实践与显著成效，经过激 烈角逐，在30家参赛金融机构中脱颖而出，以89.2分的优异成绩荣获金融服务赛道第一名，展现出济南 工行在数据要素驱动普惠金融高质量发展领域的领先实力与标杆价值。 此次获奖的"泉融e贷"项目，是针对小微企业融资难题的重要突破。项目依托济南市综 ...

中新网北京9月18日电(记者吴涛)"一张地图"摸清底数、"一组模型"厘清问题、"一张清单"推动整 改、"一套系统"长效治理。在辽宁省，数据要素综合试验区建设取得了阶段性成果并用在乡村治理、健 康保险等多个方面，使群众跑腿转变为数据跑路。 18日，在国家数据局举行的新闻发布会上，辽宁省数据局党组成员、副局长刘洋表示，自获批数据要素 综合试验区以来，辽宁省坚持改革突破，积极探索创新，以场景驱动释放数据潜力，探索数据开发利用 路径。 在农业农村领域，辽宁省数据局推动以数据应用赋能乡村治理、实施精准监管。针对农村宅基地、乡镇 企业用地等农村集体土地底数不清、权属不明等问题，构建农村土地大数据监督系统，建设农村土地数 据资源库，汇集土地使用现状、不动产权登记、农村土地确权、林权等各类数据87万条。着力化解占地 纠纷、"三资"管理等矛盾。 在医疗健康领域。针对商业健康保险核验成本高、理赔不便，特别是传统线下商保理赔手续繁、流程 多、单据杂、报销周期长等问题，辽宁省商业健康险就医费用一站式结算服务平台构建。该平台通过打 通并精准应用医疗机构、保险机构、患者等5类数据，将传统保险报销的群众跑腿转变为数据跑路，打 造了商保一站 ...

"风电设备诊断和安全防控数据集"创新融合多源异构数据，构建全面立体的风电设备运行状态画像，建立"能效分析-设备诊断-动态派单-安全管控"协同 决策机制，实现检修模式从"被动故障处理"向"预防性状态检修"的转变。同时，形成风电行业非结构化数据治理体系，覆盖生产数据全生命周期管理，为风 电行业数据资产化提供新范式。"风电行业高质量数据集建设项目"则围绕风电行业七大核心业务域，形成体系化数据治理体系，推动风电行业全生命周期、 全产业链的数据资产汇聚治理、共享复用、数据流通和数据交易，为建设新型电力系统和新质生产力提供有力支撑。 据悉，国家数据局此次组织开展首批高质量数据集典型案例遴选和先行先试部署，旨在推动各行业构建标准化数据建设技术体系，打造一批产业亟需、 规模合理、特色鲜明的高价值数据集，探索数据要素与行业场景深度融合的路径，为数字中国建设夯实高质量数据基础。（刘贤珺） 8月28日，在2025中国国际大数据产业博览会期间，国家数据局正式发布了首批高质量数据集典型案例名单，并部署了高质量数据集建设的先行先试任 务。国家能源集团多个项目成功入选，彰显了集团在能源行业数据要素应用与数字化转型方面领域的行业领先实力。 ...

Core Insights - The company reported a revenue of approximately 249 million yuan and a net profit of about 8.87 million yuan for the first half of 2025, indicating a steady performance amidst ongoing industry changes and digital transformation [1] - The company has seen a 12.87% year-on-year increase in new contract amounts, reflecting its strategic focus on optimizing business structure and service capabilities [1] Business Development - The company is advancing its role as a "social security card service provider," with nearly 170 cities participating in the issuance of the third-generation social security card, contributing to its market leadership [1] - In the digital employment service sector, the company is collaborating with Jinse Huqin to enhance operational synergy, with its "AI Employment" product being implemented in multiple regions, creating benchmark cases for employment matching [1] - The "AI Employment Counselor" developed by the company has been launched in cities like Guangzhou and Changsha, providing a full-process intelligent service that has served over 200,000 individuals [1] Healthcare Financial Services - The company has partnered with China UnionPay to create a "seamless medical payment" model, which has been integrated into the 2025 Guangzhou government work report, with over 100 top-tier medical institutions connected and more than 2.5 million signed users [2] - The accompanying app "Convenient Medical Payment" has achieved over 60,000 weekly active users, expanding service scenarios to areas like Dongguan and Zhongshan [2] Government Services - The company is building an AI Agent multi-channel service network and has launched its self-developed large model "Zhiwei Jieyu," which has been registered with national cybersecurity authorities and deployed locally in several provinces [2] - The implementation of this model has improved government service efficiency by over 40% in relevant regions [2] Data Application - The company is deepening the construction of "data supermarkets" and local "service zones," winning a bid for the operation of the Guangzhou Data Exchange (Tianhe) zone [2] - The company is also involved in the publication of "Data Product Development and Management," which includes practical cases in the public data sector [2] Future Strategy - The company aims to maintain its core operational goals of cash flow and profit preservation while accelerating the integration of scenarios, technology, and data in its core business areas, including social security card services, digital employment, AI governance, and data operations [3]

Core Insights - The financial technology (FinTech) industry is experiencing significant growth, driven by technological innovation and policy support, with an expected compound annual growth rate (CAGR) of approximately 13.3%, reaching over 650 billion yuan by 2028 [1][8][5] Group 1: Current Status of the FinTech Industry - The domestic FinTech industry is transitioning from a phase of foundational development to a more advanced stage focused on sustainable product technology iteration and data management [5][11] - The emphasis on a "technology-industry-finance" cycle highlights the importance of diverse and compliant data applications in financial business scenarios [4][5] Group 2: Market Size and Growth Projections - The FinTech market is projected to grow at a CAGR of about 13.3%, surpassing 650 billion yuan by 2028, driven by the recovery of the financial sector post-pandemic and the rise of new productivity models [8][5] - The financial market's prosperity and rapid technological advancements are contributing to the continuous increase in the domestic FinTech market size [8][5] Group 3: Sector-Specific Analysis Banking Sector - The banking sector's technology investment is expected to grow at a CAGR of 11.85%, potentially exceeding 450 billion yuan by 2028, influenced by the rise of emerging technologies and the completion of domestic innovation goals [22][23] - The banking industry's digital transformation is entering a phase of comprehensive application and functionality enhancement [22][23] Insurance Sector - The insurance market is anticipated to see technology investment grow at a CAGR of 14.83%, exceeding 100 billion yuan by 2028, driven by increasing demand due to aging population and heightened insurance awareness [32][29] - The insurance sector's core technology applications are maturing, with a focus on marketing and risk control as key growth areas [29][32] Securities Sector - The securities industry is expected to experience a rapid growth phase, with technology investment projected to exceed 970 billion yuan by 2028, growing at a CAGR of approximately 19.7% [39][44] - The focus on reducing core system failure rates and enhancing efficiency through AI and data integration is becoming a central theme in the securities sector [39][44] Group 4: Technology Trends - The deployment of artificial intelligence (AI) products in financial services is closely linked to the types of business scenarios they serve, with a projected investment growth rate of about 30.36% by 2029 [46][48] - The emphasis on big data applications is increasing, with financial institutions prioritizing data processing capabilities and compliance [57][58] - Cloud services are becoming a critical trend in the digital transformation of financial institutions, with a focus on hybrid cloud solutions and data security [61][64]