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Optimistic Data Chen Yunwen: The Future and Application of Intelligent Office Robots

Tencent Technology News Recently, Huaxing Alpha hosted the “2019 Fourth Impact Investment Summit” – “Slow Thinking in the Era of Windless” successfully concluded in Beijing. Chen Yunwen, CEO of Daguan Data, as a guest speaker, shared the theme of “The Future and Application of Intelligent Office Robots” in the sub-forum of “Enterprise Services Empowering Industrial Upgrades”.

The development of digital employees has passed the early stage and entered the deep water area of ​​RPA+AI. Optimistic Data is one of many practitioners who expect to change the daily office scene. At present, the OCR and NLP systems of Daguan Robot are very mature, and they can drag out a bunch of components to simulate the daily work of white-collar workers, and are used in all walks of life. Enterprises can enjoy “plug-in”-like execution without having to undertake high-cost development. Chen Yunwen predicts that the future of RAP will be the gradual rise of low-code development methods, the intelligentization of daily office work, the precipitation of business expert rules, and the combination of human-machine office forms.

Optimistic Data Chen Yunwen: The Future and Application of Intelligent Office Robots
Chen Yunwen, CEO of Optimistic Data

The following is the transcript of the speech:

RPA+AIJust in the ascendant

RPA is this year’s venture capital hotspot. It is Robotic Process Automation in English, which translates as “Robot Process Automation”. American RPA companies such as UIpath have developed very well, and Chinese RPA companies have also entered the fast lane in 2019. Optimistic data is no exception.

Simply put, RPA is to allow computer software to simulate human beings to complete daily office computer operations. More than ten years ago, we called it “plug-ins”. For example, everyone used plug-ins to simulate keyboard and mouse operations when playing games to complete the process of work. Back then RPA was used in the lightweight gaming space. But after combining with artificial intelligence, this technology can be used in daily office, and the efficiency will be improved many times, which is the performance of productivity improvement.

Worldwide, we see that RPA is indeed highly sought after. For example, Masayoshi Son from SoftBank proposed that the world will achieve the second great economic leap through “RPA+AI”; UIpath and other companies have completed huge financing this year, and the speed of development is very fast; The Trump team signed an agreement with UIpath. In the next five years, UIpath will help the federal government train 750,000 RPA business experts and help the federal government automate business processes. At present, RPA+AI is in the ascendant in China.

However, there are huge differences between PRA and traditional batch processing. In theory, all programs run automatically to solve a problem. But these programs still cannot be called RPA. I think there are several pieces to the RPA label: First, bots and processes are separated. The robot operates the computer with generalized components, and completes the operations of various browsers, Windows32 clients, office and various data reading and writing. Second, the process needs to be regularly sent to the robot for execution. That is, processes and robots are separated for daily automated scheduling. This is the real RPA, otherwise it is a batch processing program.

At present, RPA products on the market can be divided into three parts, one part is used to make robots, and generate robots in a convenient and fast way. Part of it is the Control Room, which does the scheduling management of robots. It’s like a human resource library for robots, which is used to manage a bunch of robot employees, dispatch tasks, schedule, assign, and so on. The last part is the terminal robot, which has its own processes to operate computers, APPs, ERP systems, and various office software. Today, classic RPA requires at least these three components.

The benefits of RPA: First of all, robots will not be tiring, they can work 7×24 hours, and they don’t need to pay social security, and they won’t change jobs. Secondly, its development and deployment costs are very low, and the cost is much cheaper than that of people. The annual cost of a robot is almost a quarter of the salary of an ordinary employee. Finally, in the field of enterprise services, the huge advantage of RPA is that it does not need to modify the original system when deploying RPA. Especially in China, companies that provide corporate services often encounter the problem that many large customers need to be customized, because each large customer has different internal IT systems, databases, ERP, CRM, OA, etc. When grafting the new system to the original system, a lot of development is required, and even the original system needs to be changed to use the new module functions, which will bring huge cost investment. Traditional software development companies often go to the customer’s site for on-site development, and sometimes even require more than a dozen people to stay on site for half a year to complete the delivery. This cost is too high and the reproducibility is extremely poor. And RPA is a plug-in origin, and the plug-in’s adaptive ability is particularly strong, and it can naturally be grafted on any system of the customer.

From the perspective of intelligence, it is obvious that the cost-effectiveness of machines replacing human work is very high, and in repetitive work, machines can be 100% correct, but humans cannot.

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