此次数据资产质押融资的落地，是政企银三方协同创新的成果，更是破解中小企业融资难题、激活数据 要素市场的重要突破。传统融资模式中，企业往往因缺乏有形抵押物面临融资困境，而数据质押融资则 为企业打开了新的融资通道：一方面，它打破了"数据资源"与"金融资本"之间的壁垒，让沉淀的数据资 产转化为企业发展的"真金白银"，为中小企业数字化转型和技术创新注入金融活水；另一方面，它推动 金融机构创新服务模式，从传统的抵质押评估转向数据资产价值评估，从而推动金融行业提升对数字资 产的认知与服务能力。 对于产业升级而言，"AI感知预测模型"的实践探索，不仅让企业充分挖掘自身数据资源的战略价值，更 推动全社会数字化转型向纵深发展。西海岸公用集团的实践证明，数据资产确权、评估、质押的全流程 可落地、可复制，其构建的风险防控体系也为行业提供了重要参考。 成立30年来，民生银行始终秉承"服务大众，情系民生"使命，坚持以客户为中心，持续守正创新。未 来，随着数据要素市场的不断完善，民生银行将持续深耕数据金融领域，推出更多定制化金融产品，为 企业数字化转型保驾护航，书写数字经济与实体经济融合发展的新篇章。 来源:金融界资讯 在数字经济浪潮奔 ...

Core Viewpoint - The successful integration of the "AI Perception Prediction Model" as a data asset into financial statements marks a significant milestone in the financialization of data assets, facilitating a pioneering data asset pledge financing of 30 million yuan in the AI sector in Shandong Province [1][2][5][6] Group 1: Data Asset Evaluation and Integration - The company established a dual evaluation mechanism for data asset quality and value, ensuring comprehensive assessment through compliance checks, quality testing, model performance evaluation, and application scenario validation [3] - The "AI Perception Prediction Model" was incorporated into the financial statements as an intangible asset, enhancing the diversity of the company's asset structure and providing a compliant basis for future financing [4] Group 2: Financing Innovation - The financing model innovatively uses AI model data assets as collateral, breaking away from traditional financing methods that rely on physical assets or credit guarantees, thus exploring a deep integration of data elements and financial capital [5][7] - The 30 million yuan loan represents the first instance of data asset pledge financing in the AI field within Shandong Province, signifying a critical transition of data assets from "resources" to "capital" [5][6] Group 3: Impact and Future Directions - The case serves as a "new district sample" for national data element market-oriented configuration reform, effectively promoting the capitalization, assetization, and financialization of data elements [6][7] - The funds obtained from this pledge financing will be utilized to enhance data infrastructure and analytical capabilities, further driving the monetization and appreciation of the company's data assets [5]