"以前每天要专门抽时间处理各类派单，现在靠RPA自动跑流程，省心又高效！"近日，随着自动派单、 零序电流收集、二遥信息巡视三款RPA机器人在太湖公司基层供电所及配网运维场景落地应用，公司以 技术创新破解业务痛点，推动供电服务效率与精准度双提升，为"业务工单化、工单数字化、数字价值 化"建设按下"加速键"。 下一步，太湖公司将持续聚焦供电服务、配网运维等核心场景，深挖RPA技术应用潜力，推动更多重复 性业务"机器代人"，以技术创新赋能供电服务高质量发展。 （来源：市场星报） ...

Core Insights - The core viewpoint of the articles emphasizes the commitment of Taixing Rural Commercial Bank to technological innovation as a key driver for high-quality development, focusing on efficiency, risk control, and service optimization. Group 1: Digital Transformation Initiatives - The bank has implemented a digital application system covering front, middle, and back offices through a combination of independent research and external absorption, addressing operational pain points and enhancing performance evaluation and risk management systems [1]. - A new mechanism for data sharing and business collaboration has been established, allowing real-time access to critical information such as loan dynamics and account changes, thus breaking down traditional information barriers [1]. Group 2: Automation and Efficiency - The bank has developed 48 RPA application scenarios, improving business processing efficiency by over 30%, thereby freeing up human resources and reducing operational risks [2]. - Data is treated as a core production factor, with mechanisms in place for data collection, analysis, and application, enabling precise customer targeting and risk management through data-driven strategies [2]. Group 3: Talent Development - The bank places significant emphasis on building a skilled workforce for digital transformation, providing tailored training for key positions, which has resulted in over 200 personnel trained in data analysis and application [3]. - The training combines online theoretical learning with offline practical exercises, enhancing the ability of staff to analyze and solve problems using data tools [3]. Group 4: Future Directions - The bank plans to continue its focus on the integration of technology and business, exploring new applications of artificial intelligence and big data to enhance financial services and improve customer experiences [3].

作者 | 褚杏娟 对于业内讨论的一些问题，实在智能通过自身实践也给出了自己的答案。比如自研模型或垂直模型对于具体业务场景中的 Agent 研发是必要的，但大模 型自身并不能作为一种产品。又如，在支持 MCP 后，实在智能也发现不能过度依赖 MCP 服务，MCP 只是将一些问题进行了封装，但问题本质并没有 得到解决。 当下，智能体的热度已经无需再多赘述。这场智能体竞赛中，除了那些从新开始的"AI 原生"智能体应用外，还有一些应用在逐渐将智能体纳入产品构建 中，实在智能便是其中之一。 实在智能成立于 2018 年7月，以RPA为起点，融合AI技术，致力于通过人工智能技术助力人机协同，提供超自动化解决方案。随着技术发展，实在智能 对其"数字员工"产品不断升级：对RPA的底层能力做了大量的改造和增强，结合计算机视觉对底层架构进行了重构，并推出了国内首款通用智能体产 品。当前，实在智能已为超 4000 家企业客户部署了"数字员工"。 近日，InfoQ 对实在智能创始人兼 CEO 孙林君进行了一次采访，期间他详细回答了智能体技术路径选择、产品如何转型、智能体产品收费逻辑等问题。 智能体的实现路径 InfoQ：2018 年 ...