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How to treat RPA+AI, I believe that many inexperienced people are at a loss about it. Therefore, this paper summarizes the causes and solutions of the problem. Through this article, I hope you can solve this problem.

The maturity of digital business is inseparable from the iteration and development of new technologies. Among these new technologies, artificial intelligence (AI) and robot process automation (RPA) are of great significance for the long-term development of enterprises.

Two surveys on RPA and AI

A survey of 3000 chief information officers (CIO) in 89 countries and regions by Gartner, an authoritative market research institution, shows that since 2015, the proportion of enterprises adopting AI technology has increased from 10% to 37%, a growth rate of 270%. At the same time, 40% of CIO believe that artificial intelligence will be the most important disruptive force in organizational change in 2019.

According to the market research report on Japanese RPA conducted by MM, a famous Japanese information research institute, as of November 2019, the application rate of RPA combined with AI in all enterprises was 36%, up 10 percentage points from 26% in June 2018. 40% of enterprises planning to use AI,25% have no plans to use AI.

In the enterprises that have applied RPA, the application rate of AI is 77%, the rate of preparing applications is 17%, and the percentage of enterprises that do not intend to use applications is 7%. Among the enterprises that intend to apply RPA, 81% intend to apply AI,7% without application plans.

New trend in the future: RPA+AI

The combination of RPA and AI can make the processing flow of RPA robot more flexible. With the blessing of AI technology, RPA robot will have a certain cognitive and deductive ability, and produce some independent decisions to optimize the business process.

AI's enabling of RPA not only breaks through the barriers of automated scenarios, but also effectively promotes the extension of RPA scenarios and supports a wider range of business scenarios. In addition, the ability of AI to improve the ability of RPA products is also very significant and can be expected in the future (such as intelligent decision-making and self-learning), which is conducive to opening up all links of the industrial value chain, forming closed-loop optimization of industrial processes, and bringing more far-reaching significance to the overall industrial reform.

OCR, NLP and other technologies in AI can give RPA the ability of image recognition and semantic analysis, so as to broaden the latitude of RPA application and connect the information world with the physical world.

With the continuous access of AI, RPA can unlock more application scenarios, and the complementary effect of RPA+AI will be infinitely magnified. Some studies have shown that by 2022, the overall market of business processes will be reconstructed, mainly covering the service transformation around RPA and AI technology, with a total value of more than $8 billion.

There is no doubt that the development of RPA and AI has a great impact on the industry. In recent years, more and more companies are increasing their investment in RPA and AI technology research and development, hoping to achieve intelligent personalized services to improve operational efficiency and user experience.

After reading the above, have you mastered the way to view RPA+AI? If you want to learn more skills or want to know more about it, you are welcome to follow the industry information channel, thank you for reading!

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