最近看了高盛的报告，挺惊悚的，报告开门见山就说ChatGPT将会威胁到3亿人的工作岗位，而最可能被替代的岗位居然是行政专员（46%的就业岗位可以被替代）。然后就是法律岗位，有44%的可能性被替代。第三就是建筑工程学岗位，有37%可能被替代。全球大概会有30%的全职岗位都可能被AI取代。未来能用好ChatGPT之类AI工具的人或许才能获得更多的工作机会，老许前段时间看过一个报道，据说国内还有接近90%的人都没听过ChatGPT，而有99%的人，压根没用过。虽然真实性无从考证，但这些人在被AI替代的时候，或许他们也是茫然的吧。
既然如此，那我们现在探索如何将AI工具应用到自己的工作中，是否就能晚点被淘汰了呢？答案是肯定的。今天我们来探讨如何用AI工具帮助数字化转型。在此之前，我们共识两个知识点。
1、数字化的本质到底是什么？其本质不在于你使用了多少数字化工具。而是，通过数字化工具，让原来不可见的，变得可见。让原来不可量化的，变得可量化。（原本源自得到APP，侵删）
2、数字转型的切入点是数字化战略、数据管理、数字化技术、业务流程、人力资源和风险管理。
一、行政常见的数字化管理方式
数字化管理方式，不同与数字化管理系统，而是在日常工作中使用数字化工具来提升管理效率的各种尝试。比如微信报障平台、比如感应式走道灯、比如座位码、比如说电子货柜、比如一卡通、比如积分商城、比如时效评估系统等等，这些可能是零碎的，也可能被整合在了一个大的中台上，这些都构成了每家行政独特的数字化管理方式。
随着钉钉、企业微信及飞书等平台类OA的发展，基于SAAS的行政工具如雨后春笋般的发展起来，通过这些平台，行政人可以把常见的信息烟囱打通，让工作更高效。比如说差旅，如果你用的是钉钉，那使用阿里商旅无疑是效率最高的差旅平台，抛开阿里商旅没有人工客服这个最大的槽点，你是不是会发现，使用阿里商旅后，你不用再去考虑新员工入职后，如何将信息同步给商旅公司了？是不是不用考虑在员工离职后，把其从订票列表中删除了？是不是不用在订票的时候，查一下差标是多少了？无形中，钉钉结合阿里商旅这个组合，就让行政差旅完成了最快的数字化转型。
二、ChatGPT会重构数字化解决方案
因需而变，随机应变的可能：正如钉钉上的SAAS那样，我们在日常工作中，要么功能不够用，要么功能太多很多都用不到，但未来以ChatGPT为代表的大语言模型，肯定会重构产业数字化解决方案并逐渐成为数字化平台的新核心层。未来将形成“以大模型为底座，以模型优化中间件为核心能力，以快速、高效、高质量的智能应用服务创建为目标”的新模式。也就是将SAAS这种共性化的软件，通过大语言模型来智能的调整成适应你实际需要的样子，比如有些公司的资产就是先行政编码，然后根据行政编码生产财务编码，目前很多固定资产软件就不支持这样操作，但未来，可能不用未来，你现在就可以让ChatGPT帮你梳理需求，然后直接编写一个python程序，最后再去Copilot优化一下，就可以用了。后续要升级也简单，还是代码丢上去，让AI帮你加功能，帮你调试，最后帮你打包。这种真正因需而变，随机应变的模式将对目前平台+SAAS的玩法形成降维打击。
业务直接交付价值的能力：说到数字化转型，一定离不开业务技术化和技术业务化的问题，以往是懂业务的不懂编程，无法将业务转变为标准化、流程化、低成本的解决方案。而懂技术的，则对业务往往一知半解，写的代码基于直线思维或编程思维，与业务部门想要的成果存在差异，但现在有了ChatGPT和Copilot，如果是你负责这个数字化转型项目，那你就多了一个利用大语言模型来探索业务团队直接交付业务价值的模式，这是一个全新的数字化转型的解决方案。
行政价值与指标绑定的可行性：行政指标体系为什么难以建立，有一个主要原因是企业行政的所有数据一般是分散在N多的表格中，对应N多的报表，目前流行的BI固然能很好的进行数据可视化，但随着行政数据的扩大，你想要从BI展示的数据图表中，找到与行政直接关联的指标是非常困难的事情。但以ChatGPT为代表的技术，其实就是基于看似混沌的数据中，根据提问者的对话，来猜出你想要的信息。使用数据喂养ChatGPT或用中间件来培养自己的AI助手，或许是我们行政未来通过数据发掘价值点的一种可行方案。并且ChatGPT本身通过交互来成长的模式，也特别适合行政工作的诸多场景。
变相的培养数字化人才：对数字化转型而言，最难的不光是管理层支持与否，更多的是合适的数字化人才，传统的数字化转型中，失败的主要因素还是在ROI太难看。我们无法期望ChatGPT能帮我们直接明确行政数字化转型要做什么，但是这类AI工具的引入与使用，会启发部门内部人员思考，如果才能更好的利用这个工具来进行数字化，数字化如何赋能业务，拓宽并明确数字化的应用场景。而这一切的成本非常低，低到每个月才20美金，任何的行政部门都可以承担这样的支出。
三、小结
让我们结合上文，回顾一下数字化转型的切入点：
1. 数字化战略：ChatGPT无法帮我们直接明确行政数字化转型要做什么。
2. 数据管理：ChatGPT可以帮我们更好的在繁杂的数据中找到核心的价值点。
3. 数字化技术：ChatGPT类的大语言模型，将在未来提供因需而变，随机应变的可能，也可能为业务提供直接交付的能力。
4. 业务流程：当ChatGPT嵌入到工作流后，业务流程不变也难。
5. 人力资源：AI工具的引入与使用，会启发部门内部人员思考，如果才能更好的利用这个工具来进行数字化，数字化如何赋能业务，拓宽并明确数字化的应用场景。
6. 风险管理：如果基于ROI考虑，这一切的成本非常低，低到每个月才20美金，任何的行政部门都可以承担这样的支出。
好了，今天的分享就先到这里吧，如果感觉好，还请收藏点赞转发，让更多行政人一起成长。
翻译：
I read a recent report from Goldman Sachs, which started off with a frightening statement that ChatGPT would threaten 300 million jobs, and that the most likely job to be replaced was administrative commissioner (46% of jobs could be replaced). Then there are the legal jobs, which have a 44 percent chance of being replaced. The third is construction engineering jobs, with 37% likely to be replaced. Around 30% of full-time jobs worldwide could be replaced by AI. In the future, people who can use AI tools like ChatGPT well may get more job opportunities. Lao Xu read a report some time ago, it is said that nearly 90% of people in China have never heard of ChatGPT, and 99% of people have never used it. Although it is impossible to verify the authenticity of these people, they may be at a loss when they are replaced by AI.
In this case, can we now explore how to apply AI tools to our own work and be phased out later? The answer is yes. Today we’ll look at how AI tools can help with digital transformation. Before we do that, we agree on two points.
- What is the nature of digital? It’s not about how many digital tools you use. It’s about making the previously invisible visible through digital tools. To make the unquantifiable, quantifiable. (Originally from getting APP, intrusion)
- The entry point of digital transformation is digital strategy, data management, digital technology, business process, human resources and risk management.
The administrative common digital management mode
Digital management mode, different from digital management system, but in daily work to use digital tools to improve management efficiency of various attempts. Such as wechat barrier reporting platform, such as induction aisle lights, such as seat code, such as electronic container, such as one card, such as points mall, such as time evaluation system, etc., these may be piecemeal, may also be integrated in a large platform, all these constitute the unique digital management of each administration.
With the development of Dingding, enterprise wechat, Feishu and other platforms such as OA, Saas-based administrative tools have mushrooming. Through these platforms, administrators can open up common information chimneys and make their work more efficient. For example, if you use Dingding travel, Ali Business travel is undoubtedly the most efficient travel platform. Aside from Ali Business travel has no human customer service this biggest spot, you will find that after using Ali Business travel, you do not have to consider how to synchronize the information to the business travel company after the entry of new employees? Do you not have to consider removing an employee from the booking list after they leave? Don’t you need to check the difference when you book? Virtually, Dingding combined with Ali Business Travel this combination, administrative travel completed the fastest digital transformation.
ChatGPT restructures digital solutions
The possibility of changing according to demand:
just like the nailed SAAS, in our daily work, we either have not enough features. Or too many features to use, but in the future, the large language model represented by ChatGPT, will certainly restructure the industrial digital solution and gradually become the new core layer of digital platform. In the future, a new model will be formed, with “large model as the base, model optimization middleware as the core capability. And fast, efficient and high-quality intelligent application service creation as the goal”.
That is, SAAS this kind of software, through the big language model to intelligent adjustment to meet your actual needs, such as some company’s assets is the first administrative code, and then according to the administrative code production financial code, at present a lot of fixed assets software does not support this operation, but in the future, may not use the future, You can now ask ChatGPT to sort through your requirements, write a python program, and then go to Copilot to optimize it and use it. Follow-up to upgrade is also simple, or code throw up, let AI help you add functions, help you debug, and finally help you pack. This really needs to change, adaptable mode will be on the current platform +SAAS play to form a dimensional blow.
The ability of business to deliver value directly:
When it comes to digital transformation, it must be inseparable from the problem of business technology and technology business. In the past, those who know business but do not know programming cannot transform business into standardized, streamlined and low-cost solutions. Those who know technology often have little knowledge of the business and write code based on straight line thinking or programming thinking, which is different from what the business wants. But now with ChatGPT and Copilot, if you are in charge of this digital transformation project, you have a big language model to explore how the business team can directly deliver business value. This is a new digital transformation solution.
Feasibility of binding administrative value and index:
One of the main reasons why it is difficult to establish the administrative index system is that all the data of enterprise administration are generally scattered in N forms corresponding to N reports. Although the current popular BI can carry out data visualization very well, with the expansion of the administrative data. It is very difficult for you to find indicators directly related to administration from the data chart displayed by BI. But the technology exemplified by ChatGPT is all about trying to guess what you want out of seemingly chaotic data, based on the conversation of the questioner. Using data to feed ChatGPT or using middleware to build your own AI assistant may be a viable solution for our administration to discover value points through data in the future. And ChatGPT’s own model of growth through interaction is particularly suited to many scenarios of administrative work.
Disguised cultivation of digital talents:
For digital transformation, the most difficult thing is not only whether the management supports it or not. But more importantly, the right digital talents. In traditional digital transformation, the main factor of failure is the ugly ROI. We can’t expect ChatGPT to help us directly clarify what we need to do in the digital transformation of administration. But the introduction and use of such AI tools will inspire people within the department to think about how to make better use of this tool for digitization. How to empower the business, broaden and clarify the application scenarios of digitization. And the cost of all this is so low. As low as $20 a month, that any administration can afford it.
Summary
Let’s review the entry points for digital transformation in the context of the above:
- Digital strategy: ChatGPT can’t help us directly clarify what we need to do for administrative digital transformation.
- Data Management: ChatGPT helps us find the core value points in the data clutter.
- Digital technology: Chatgpt-like large language models will provide the possibility of changing on demand and adapting in the future, as well as the ability to provide direct delivery for businesses.
- Business processes: When ChatGPT is embedded in a workflow, business processes remain difficult.
- Human resources: The introduction and use of AI tools will inspire the internal staff of the department to think about how to make better use of this tool for digitization, how to empower the business and broaden and clarify the application scenarios of digitalization.
- Risk Management: The cost of all this is very low based on ROI, as low as $20 per month, which any administration can afford.
Well, today’s share is here, if you feel good, please also collect “like” and forward, so that more administrative people grow up together.
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