叠加科技创新后的数字经济浪潮，把"要不要转型"的单选题，变成了"转得够不够快"的抢答题。在北京顺义区马坡，一片占地188亩的"数字金融绿洲"，也 许正悄然改写着未来银行新范式。 这里是北京银行顺义科技研发中心——"数字京行"的策源地，7×24小时不间断运转，支撑着北京银行各项业务的稳定运行。 2022年，北京银行正式吹响数字化转型冲锋号，提出三年行动规划，以数字化转型推动跨越式发展。这场转型的实际成效如何？具体有哪些落地应用？近 日，由北京市委网信办主办、新京报贝壳财经承办的"京彩不设限・经济热力站"月度主题走访活动给出了最佳观察窗口。北京银行顺义科技研发中心作为重 要站点，迎来了12家市属新闻网站、财经类网站记者及4家财经领域网络大V，让外界得以零距离触摸其数字化转型的鲜活实践。 服务3200万客户背后的"数字兵法" 数字化转型的最终目标是提升客户体验与经营效率。目前，北京银行的零售客户数突破3200万户，如何服务好这些客户群体，同时还能进一步扩规模、促增 长，答案就是——数字化运营。 在零售业务领域，来自北京银行软件开发中心零售基础与渠道研发团队副主管周兵介绍，该行沉淀总结了一套数字化运营的体系框架——C ...

Group 1: Core Insights - The article highlights the significant advancements in artificial intelligence (AI) and data infrastructure in Beijing, with 29 state-owned enterprises actively pursuing 38 key tasks to embrace new opportunities in AI development [1][2][3] - The establishment of a city-level intelligent computing center aims to address the bottleneck in computing power demand, with the Beijing Digital Economy Computing Center planning to provide over 1000P of intelligent computing power through 3600 intelligent computing cabinets [2][3] - The focus on domestic chip commercialization is evident, with the introduction of a platform that integrates over 10 types of domestic chips to validate their performance in various AI applications, thereby reducing verification costs [3] Group 2: Data Flow and Utilization - A new data circulation platform, akin to an e-commerce model, is being developed to facilitate the efficient flow of high-quality data, addressing the supply-demand mismatch in data resources [4][5] - The platform aims to connect at least 10,000 market entities and 30,000 data products by the end of next year, enhancing the social supply of data products and services [5] - State-owned enterprises are also participating in the construction of data asset value realization, with 20 enterprises completing data asset registration and 10 enterprises piloting the entire chain of data asset registration, trading, and application [5] Group 3: AI in Financial Services - The implementation of AI in financial services has led to a 40% increase in efficiency for credit approval processes, significantly improving the quality and speed of service [6][7] - The AI Banking platform developed by Beijing Bank has created over 20 intelligent products and tools, enhancing the overall customer service experience [6][7] - AI-driven customer service has effectively managed a large volume of inquiries, achieving a 92% success rate in responses, thus alleviating the workload on human staff [6][7]