RPA technology introduction and application value

1. What is RPA technology?

RPA (Robotic Process Automation) is a new technology that can simulate humans to perform repetitive tasks. RPA can achieve overall planning, automated business processing, and improve business workflow processing efficiency. Users only need to dynamically set the RPA software through the computer operation interface displayed graphically. With the help of RPA (Robotic Process Automation), work efficiency can be improved, costs can be saved, error rates can be minimized, time can be saved, and labor can be liberated from repetitive background tasks.

In "Intelligent RPA Practice" published by Daguan Data, it is defined as follows: through specific technologies that can simulate human operations on the computer interface, the corresponding process tasks are automatically executed according to the rules, replacing or assisting humans to complete relevant computer operations. .

RPA is essentially a software that can complete work according to specific instructions. This software is installed on a personal computer or a large server and realizes the automation of office operations by simulating manual operations such as keyboard and mouse.

RPA is also vividly called Digital Labor.

2. What is IPA technology?

1.IPA

Since 2015, with the development of AI technology, RPA's various technical capabilities have been strengthened, and the combination of AI and RPA has formed IPA technology (Intelligent Processing Automation), which is intelligent process automation technology.

The composition of intelligent RPA: RPA+AI=IPA

RPA is usually compared to a gripper, and AI is compared to a brain. AI is responsible for thinking, RPA is responsible for action. RPA is a digital platform that can call on all software and hardware capabilities of a computer. AI can exist as one of the intelligent components and be called by RPA. AI can also be empowered as part of RPA, such as intelligent robot scheduling logic.

RPA is mainly applied to AI technologies: Computer Vision (CV), Natural Language Processing (Natu

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Origin blog.csdn.net/hongdi/article/details/132558219