Guan Cha Zhe Wang·2025-09-05 07:15Core Insights - The conference held by China Merchants Bank focused on the integration of artificial intelligence (AI) and financial services, emphasizing the importance of large model applications in enhancing financial productivity and service quality [1][2][7] - Industry experts discussed the transformative potential of AI, particularly in the context of large models, and their implications for the future of the financial sector [2][3][4] Group 1: Conference Highlights - Over 100 representatives from banks, securities, funds, and technology companies attended the conference, showcasing a collaborative effort to explore AI's role in financial development [1] - Keynote speakers included prominent figures from academia and industry, who shared insights on the evolution of AI technologies and their applications in finance [2][3] Group 2: AI and Financial Integration - China Merchants Bank's CIO highlighted the need for collaboration among industry players to effectively leverage large models, advocating for a cooperative approach to maximize opportunities [1][5] - The bank has made significant investments in AI infrastructure, with a reported technology expenditure of 4.444 billion yuan, representing 2.93% of its revenue in the first half of 2025 [7] Group 3: Applications and Innovations - The bank has integrated AI into its retail and wholesale banking operations, enhancing customer service and risk management through intelligent systems [8] - Innovations such as the "Risk Assistant" and "CRM Assistant" have improved operational efficiency and customer engagement, with active user numbers exceeding 7,000 [8] Group 4: Future Directions - The focus on AI and large models is expected to drive significant changes in banking service models and operational processes, positioning China Merchants Bank as a leader in the digital transformation of the financial sector [5][6][8] - The bank aims to continue its investment in AI technologies and foster an ecosystem for collaborative development in the AI space [1][7]