Core Insights - The article discusses the challenges faced by small and micro enterprises in securing financing, highlighting the need for a digital transformation in the banking sector to address these issues [1][2][4][6] Group 1: Challenges in Financing - Small and micro enterprises are trapped in a "data fog," leading to difficulties in obtaining financing due to a lack of standardized financial reporting and transparency [4][6] - Over 60% of enterprises have issues with non-compliant financial statements and low information transparency, which exacerbates the information gap between banks and businesses [4] - The reliance of banks on "hard information" such as standardized financial reports and sufficient collateral creates barriers for small enterprises, which often lack these resources [6] Group 2: Technological Solutions - The integration of advanced technologies like AIGC is seen as a potential solution to the financing challenges faced by small and micro enterprises [2][13] - Companies are encouraged to embrace digital platforms and AI to streamline operations and improve data quality, which is essential for securing financing [9][12] - The introduction of the "Micro Wind Smart Selection Digital Enterprise Service System" aims to address the core financing challenges by breaking down data silos and standardizing enterprise data into recognized "financing assets" [10][11] Group 3: Financial Institution Empowerment - Financial institutions can enhance their efficiency and risk management by utilizing automated data collection and analysis technologies, such as RPA and AI [13][14] - The use of advanced algorithms and models can support banks in various financing scenarios, including risk assessment and loan management [14][15] - The collaboration between enterprises and financial institutions through digital platforms is crucial for overcoming the data blind spots that hinder financing for small and micro enterprises [15]

想写关于RPA的话题很久了。 这次终于找到了一个机会，看到了一些转折点。 是因为昨天打开影刀RPA，想搓一个自动跑图的自动化RPA流程的时候，发现他们更新了一个新功能。 魔法指令。 这个功能的作用非常简单，就是你现在可以通过AI，来用嘴搭建一套关于网页和数据的RPA流程了。 这是我觉得，一个非常棒的转折点。 只不过当下的时间点，我觉得很多人都已经陷入了某种AI幻觉里，觉得在当下的时间里，在当前的模型能力下，一切都可以Agent，一切都该Agent，一 切都是Agent牛逼。 但真的去做落地项目，做业务流程，做一些自动化任务的朋友都知道，你让Agent做着做着，就会从"卧槽牛逼哎，他自己看到错了自己去别的地方找 哎"，变成"尼玛怎么又崩了？"、"怎么这一步又理解错了？"、"神经病吧。" 尤其是，越是复杂的流程，越是讲究高精度、不能出错、重复运行的业务，一旦Agent的推理链条超过十步，它有的时候就越来越像是在抽卡。 这个痛点，我在好几个访谈里都说过。 比如你现在做一个复杂、重复的操作流程，要Agent完成20个步骤，哪怕每一步成功率99%，那整体成功率是多少？ 0.99的20次方，大概是82%。 听起来不低是吧 ...