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招商银行首席信息官周天虹:大模型应用迭代周期已缩短至8天
Bei Jing Shang Bao· 2026-03-30 04:08
Core Insights - The core focus of the articles is on China Merchants Bank's digital transformation and AI strategy, emphasizing the goal of becoming the first intelligent bank in the industry by 2025 [2][3]. Group 1: Digital Transformation Strategy - China Merchants Bank has adhered to a "technology-driven" strategy for many years, with the "14th Five-Year" digital financial development plan outlining the creation of an intelligent bank as a core task for the next five years [2]. - The bank's AI first strategy was initiated following Chairman Miao Jianmin's proposal to establish the first intelligent bank in the industry, leading to active deployment of large model applications [2]. Group 2: Large Model Applications - The bank has identified 1,588 independent work items for large model applications, categorizing them into high, medium, and low-value based on quantifiable standards, prioritizing high-value scenarios for implementation [2]. - By the end of 2025, the bank aims to have implemented a total of 856 large model application scenarios [2]. Group 3: Efficiency and Performance Improvements - The average iteration cycle for large model applications has been reduced from 32 days in 2024 to 8 days in 2025, significantly enhancing efficiency [3]. - In 2025, the daily input-output token scale for large models increased by 10.1 times compared to 2024, reaching a total of 26 billion tokens, positioning the bank at a leading level in the banking industry [3]. - The cumulative replacement of manual labor hours by large model applications exceeded 15.56 million hours in 2025, equivalent to the workload of over 8,000 full-time employees [3].