Zheng Quan Ri Bao Wang·2025-11-06 07:13Core Insights - The "Digital Risk Control Project" won the second prize in the national finals of the 2025 "Data Element ×" competition, showcasing a significant achievement for the project among 22,000 entries nationwide [1] - The competition aims to promote the marketization of data elements and the deep integration of data with industries, featuring 13 industry tracks including financial services [1] Group 1: Project Overview - The "Digital Risk Control Project" addresses key industry pain points such as data integration, circulation, and application difficulties, establishing the first "data-risk-ecosystem" digital risk control system in the industry [2] - The project leverages Ping An Group's robust data foundation and distributed computing capabilities, creating a comprehensive database covering ten high-quality data categories, with total data volume exceeding PB level [2] Group 2: Technological Capabilities - The project integrates over 370 authoritative data sources, forming the industry's first compliant data fusion model and claims knowledge engineering system, achieving a data standard at DCMM level five [2] - Ping An has accumulated over 30 trillion bytes of data, covering nearly 250 million individual customers, and has trained large models based on massive datasets [2] Group 3: AI Integration and Impact - AI has been fully integrated into Ping An's core business, with 89% of car insurance policies being issued in an average of one minute, and the automation rate for personal injury claims reaching 63% [2] - In the first three quarters of 2025, AI service volume exceeded 1.292 billion instances, covering 80% of the group's total customer service volume, and AI-assisted sales amounted to 99.074 billion yuan, enhancing customer experience and operational efficiency [2] 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 models of intelligent finance driven by data elements, contributing to high-quality development in the financial sector [3]