HUA XIA BANK(SH:600015) Cai Jing Wang·2025-11-27 03:42Core Viewpoint - Artificial intelligence (AI) is a key driver of technological revolution and industrial transformation, facilitating the financial industry's transition from digitalization to intelligent development. Huaxia Bank is actively promoting the integration of AI and big data to enhance its operational capabilities and support high-quality business development [1]. Group 1: AI Technology Application Development - Huaxia Bank is building an open collaborative AI innovation ecosystem through partnerships with universities, research institutions, and technology companies, enhancing its AI computing power and data readiness [2]. - The bank is developing various AI algorithms, including discriminative, generative, strategic, and behavioral models, to support applications in intelligent marketing, risk control, and operational efficiency [3][4]. - The introduction of quantum technology aims to balance the advancement of AI models with cost control, significantly improving training speed and resource efficiency [5]. Group 2: AI Data Preparation - High-quality data is recognized as crucial for enhancing AI model performance, leading to the establishment of a robust AI-ready data system that supports model training and intelligent decision-making [6][7]. - The bank implements comprehensive data management processes, including collection, annotation, cleaning, and desensitization, to ensure data quality and relevance [8]. Group 3: AI Computing Power Support - The demand for intelligent computing power is rapidly increasing, prompting the bank to adopt a dynamic resource allocation mechanism to optimize GPU utilization and manage computing resources effectively [9]. Group 4: AI Talent Support - Huaxia Bank has formed an integrated AI team across its technology and fintech divisions, facilitating collaboration and reducing barriers to AI application across the organization [10]. Group 5: AI Technology Application Achievements - The bank has identified 240 AI model application scenarios, with 24 officially launched, demonstrating significant improvements in efficiency across various functions, including marketing, risk control, and operational processes [11]. Group 6: Future Directions - The bank plans to deepen the integration of AI with big data and quantum technology, aiming to enhance its AI capabilities and promote large-scale application across all business lines [12].