PING AN OF CHINA(HK:02318) Mei Ri Jing Ji Xin Wen·2025-09-15 14:14Core Insights - The forum themed "Let New Technologies No Longer 'Wait for the Wind': Fintech Supporting the New Triangle Cycle" highlighted the transformative impact of artificial intelligence (AI) on the insurance industry, with a focus on high-quality development through deep integration of AI into various business scenarios [1][2]. Group 1: AI Integration in Insurance - The company is advancing its "AI in All" strategy, aiming for comprehensive intelligence across marketing, service, operations, management, and business processes [2]. - In the auto insurance sector, over 86% of policies are now issued automatically by AI, and approximately 46% of claims are processed through automated inspections, significantly enhancing user experience and reducing operational costs by 1% over the past three years [2]. Group 2: AI Model Development - The company identifies four core elements for AI large models: computing power, data, algorithms, and scenarios, supported by a robust organizational structure and talent development [3]. - A "thousand-card scale computing cluster" has been established to ensure efficient AI model deployment, while a knowledge engineering system has accumulated over a trillion tokens to support model training [3]. Group 3: Digital Financial Services for Tech Companies - As of 2024, there are over 600,000 tech SMEs in China, facing challenges in risk assessment and product pricing for insurance [6]. - The company has developed various tech insurance products, including cybersecurity insurance, to meet the diverse needs of tech firms at different growth stages, providing over 1.9 billion yuan in cybersecurity risk coverage [6]. Group 4: Global Risk Management Services - The launch of the EagleX platform offers comprehensive global risk management services, including risk assessment and disaster warning, to support Chinese enterprises expanding overseas [7]. - The company has already assisted 654 renewable energy companies in their international ventures, helping to mitigate losses exceeding 200 million yuan [7].