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借力DeepSeek 银行业智能化变革提速
Zhong Guo Jing Ji Wang·2025-03-10 23:35

Core Insights - Industrial and Commercial Bank of China (ICBC) has completed the privatization deployment of the DeepSeek open-source large model, integrating it into its "ICBC Intelligent Surge" model matrix to enhance the intelligence of financial business scenarios [1] - Other banks, including Postal Savings Bank and Shanghai Pudong Development Bank, are also adopting DeepSeek models to optimize their AI capabilities across various business applications [2][3] - Smaller banks are increasingly active in deploying AI technologies, leveraging DeepSeek to improve customer service and operational efficiency [4][5] Group 1: ICBC's AI Initiatives - ICBC has implemented AI technology across over 20 major business areas, with more than 200 practical applications [1] - The bank has developed the ChatDealing product to enhance trading processes, significantly increasing transaction volumes [1] - ICBC's remote banking assistant, "Gong Xiaohui," has reduced call durations by approximately 10%, improving service efficiency and customer experience [1] Group 2: Other Banks' Deployments - Postal Savings Bank has integrated DeepSeek models to enhance capabilities in complex multi-modal processing and efficiency improvements [2] - Shanghai Pudong Development Bank has deployed the DeepSeek-R1 model on Ascend servers, focusing on AI applications in inclusive finance for small and micro enterprises [2] - Smaller banks like Chongqing Bank and Jiangsu Bank are utilizing DeepSeek for intelligent customer service and automated valuation processes [4][5] Group 3: Industry Trends - The banking sector is increasingly reliant on data, and AI technologies like DeepSeek are expected to drive significant digital transformation [3] - There is a need for banks to explore AI applications in management while adjusting organizational structures and processes to accommodate these technologies [3] - DeepSeek provides smaller banks with an opportunity to enhance their technological capabilities and reduce the cost of AI application integration [5][6]