Author Shu UiBot
In recent years, as a tool can replace human work, RPA and AI because the "automation" has attracted attention. Although the two different levels, it is not "oil and water" as insoluble. On the contrary, they are very complementary relationship like human hands and brains. 
Right now, the application of AI technology in the enterprise is still in the preliminary stage of exploration. And standardization, process the RPA is more pragmatic, is regarded as the driving force enterprises to improve efficiency and productivity, thus became AI landing disk access Xia.
With the development of RPA and AI, the combination of the two is more a matter of course. Well,
RPA + AI combination will produce what kind of spark?
1. The efficiency of daily operations of
RPA although the efficiency of the tool, but can only deal with rule-based, mechanical, repetitive tasks. The AI can also automatically perform non-routine task.
Further, by RPA + AI composition (e.g., based on the determination by the RPA process data AI), you can implement more advanced automation. Therefore, the RPA and AI combined, can greatly improve the efficiency of daily operations.
- Just use RPA + AI tools to complete the business
of certain business processes inevitably involves judgment process, and judges RPA, although tight, but the lack of flexibility. If combined with AI, RPA without manual intervention will be able to judge deal with more complex tasks. In this way, we can liberate more staff to enable them to engage in more creative work.
3. easier to import AI
For most companies, the cost and difficulty of importing AI are high, the threshold is deployed RPA is relatively low. Thus, by combining AI with RPA, RPA not only allows companies to quickly recover the cost, but also to make it easier to import AI, also without additional build AI systems. 
What AI technology is a perfect match with the RPA?
1. Voice recognition technology
of speech recognition technology, also known as automatic speech recognition. This technique enables the computer to recognize the human voice, and the content words into spoken words, thereby eliminating the trouble people keyboard input. Siri intelligent speaker on the application of speech recognition technology.
Further, the voice recognition + RPA, may also be implemented in call center automation and voice input and the like.
2. Data analysis techniques
using data analysis techniques to resolve large data, to obtain highly accurate analysis results.
Human data amount can be analyzed, and the analysis can be associated, the amount of data packets are limited. The computer can better analyze these data to obtain more information humans can not get.
Currently, data analysis + RPA has been implemented in Google Analytics and other marketing tools and big data analysis tools.
3. Computer Vision
Computer vision refers to computer technology to identify images and video, as people watch the same images and video. For example, medical X-rays detection of disease by ultrasound images.
Computer Vision + RPA, generating a service: to convert a conventional handwritten data into digital information and material. Today, no keyboard input and does not produce misspelled RPA, are being widely used in the industries that need to process a large number of paper material. 
In the near future, RPA + AI combination will expand the depth and breadth of automation, with minimal manual intervention to complete the task processing. Only through lay RPA + AI "combined" in order to further move towards efficient and intelligent way to achieve long-term benefits.