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金融壹账通荣获2025年“数据要素×”大赛全国总决赛二等奖
Qi Lu Wan Bao· 2025-11-26 05:59
Core Insights - The "Digital Risk Control Project" won the second prize in the national finals of the 2025 "Data Element ×" competition, showcasing a significant achievement among 22,000 participating projects [1] - The competition aims to promote the marketization of data elements and the deep integration of data with industries, with a focus on various sectors including financial services [1] Group 1: Project Overview - The "Digital Risk Control Project" addresses industry pain points such as data integration, circulation, and application difficulties, establishing the first "data-risk-ecosystem" digital risk control system in the insurance sector [2] - The project utilizes a robust data foundation from Ping An Group, creating a comprehensive database covering ten high-quality data categories, with a total data volume exceeding PB level [2] - It integrates over 370 authoritative data sources, achieving a compliance data fusion model and a claims knowledge engineering system, with data standards reaching DCMM level five [2] Group 2: Technological Innovations - The project has developed a large model and knowledge engineering system for the insurance domain, utilizing trillions of insurance corpus and hundreds of millions of claims data to create an interpretable knowledge graph and intelligent reasoning chain [2] - The automation rate of knowledge has reached 70%, while the data knowledge rate stands at 50%, significantly enhancing risk identification accuracy and control efficiency [2] - The model has been implemented in scenarios such as claims risk control, risk pricing, and fraud detection, benefiting over 20 insurance institutions and generating economic and social benefits exceeding 10 billion [2] Group 3: Company Strengths - Ping An Group's technological innovation and ecological collaboration are highlighted through this award, reflecting its systemic strength in driving intelligent financial development with data elements [3] - The company has accumulated over 30 trillion bytes of data, covering nearly 250 million individual customers, and has trained large models based on this vast data [3] - AI has been fully integrated into Ping An's core business, achieving a 63% automation rate in personal injury claims and processing car insurance applications in an average of one minute [3] Group 4: Future Directions - Financial One Account will continue to act as a technology output window, collaborating with the Ping An ecosystem and the industry to explore new intelligent financial models driven by data elements [4] - The aim is to contribute to the high-quality development of the financial industry, support the real economy, enhance financial risk prevention capabilities, and promote new productive forces [4]
从算力到场景,大模型如何定义金融业新质未来
Guan Cha Zhe Wang· 2025-06-23 05:26
Group 1 - Shanghai is actively promoting the "Artificial Intelligence +" initiative, focusing on the construction of large models in key sectors such as finance to accelerate digital transformation and foster a new form of intelligent economy [1] - The recent forum on large model financial applications emphasized the importance of AI in enhancing productivity within the financial sector, with insights from industry leaders on navigating the AI wave [3] - Financial AI applications are evolving from simple to complex, with significant investments in AI infrastructure by financial institutions, leading to comprehensive integration of AI across various business processes [4] Group 2 - The development of a full-stack AI technology system is underway, with a focus on generative AI applications and the need for scenario-specific model evaluations [5] - The company has established a comprehensive AI technology ecosystem that includes diverse application scenarios, a capability platform, model algorithms, and supporting tools, emphasizing the integration of data, models, and computing power [5] - There is a call for increased collaboration between industry and enterprises to address customization needs and promote the modernization of intelligent infrastructure through shared industry datasets [6] Group 3 - Shanghai's strong financial and technological integration provides a conducive environment for the company's development, contributing to the creation of a world-class AI industry cluster [6] - The company aims to leverage its full-stack AI capabilities to support Shanghai's ambition of becoming a globally influential technology innovation hub [6]