Jing Ji Guan Cha Wang·2025-09-26 03:20Core Insights - The annual Cloud and AI conference, Yunqi Conference, was held in Hangzhou, focusing on the application of AI in the financial sector [1] - Ping An Group's Chief Scientist, Dr. Xiao Jing, emphasized the transition from general to specialized AI models in finance, highlighting the necessity for vertical transformation in the industry [2] Group 1: AI Model Development - The summit discussed the shift from "horizontal general" to "vertical specialized" AI models, stressing the importance of efficient training and reasoning for AI in finance [2] - Dr. Xiao proposed three key areas for companies to focus on: enriching high-quality professional data, expanding business applications, and emphasizing AI safety and risk management [2] Group 2: Ping An's AI Initiatives - Ping An has developed the "Ping An Brain" intelligent engine, which integrates algorithms, data, and computing power to provide standardized technical capabilities [3] - The engine aims to embed AI deeply into the financial and healthcare value chains, focusing on five strategic areas: intelligent marketing, service, operations, management, and business [3] Group 3: AI Deployment and Impact - Ping An has deployed over 50,000 intelligent agents, covering most core positions among 110,000 employees, achieving significant improvements in efficiency and user experience [4] - The company reported that AI handles over 20 billion customer service interactions annually, accounting for more than 80% of total interactions, and has improved operational efficiency in car insurance processing by nearly 80% [4] Group 4: Ethical Considerations and Governance - To address AI ethical risks, Ping An established an AI governance committee led by the CEO, implementing a comprehensive governance framework to ensure safe and compliant AI applications [4] - The company has invested heavily in technology and AI over the past decade, focusing on a strategy termed "AI in all" to achieve comprehensive AI integration across its operations [5]