Baidu Research Institute has released its top 10 tech trends forecast for 2020. Artificial intelligence was the unsurprising winner of the year. Six of the top 10 trends are directly related to AI, while the remaining four are indirectly related to AI.
Come to think of it, artificial intelligence seems to have only become a common topic in the media in recent years. Artificial intelligence has also become an inevitable guest when predicting trends in various fields. However, behind the scenery at this time, is actually decades of cold bench. As early as 1956, artificial intelligence was officially named. For 60 years, although it was always expected to be a star of tomorrow, it was always hanging on the edge of obscurity. It was not until the emergence of new technologies created new business needs and application scenarios that AI technology was put to use that the value of AI really emerged.
AI’s fate is not unique, and the RPA of this year’s fire is very similar. Many people had never heard of RPA before this year, and you might not think that RPA has been used in various fields since the 1990s as an automation technology.
The fact that AI and RPA are popular at the same time is not a coincidence, but a combination. AI landing with RPA, RPA enhanced with AI. In the past, RPA may have been limited to simple mouse and keyboard operations, and could solve very limited business process automation problems. As a digital employee, it was not good. With the aid of AI technology, the digital employee has made a qualitative leap.
From simple imitation to process automation, digital employee RPA can not only be led by the staff of the enterprise, cooperate with the staff to complete the work, but also can independently complete the whole process, realize the whole process automation. RPA integrated with AI technology has significantly improved the ability of unstructured data processing, greatly reducing the link of human-computer interaction and manual review in business processes, and can complete many complex business scenarios to meet the needs of enterprise automation in a more comprehensive way, so it has greater commercial value.
Take RPA products as an example. Through independent research and development, On the basis of RPA technology platform, Rongzhi integrates AI artificial intelligence algorithms and cognitive computing capabilities to create more humane digital employees for enterprises and industrial users.
In specific business scenarios, Rongzhi RPA products can read text like a human, think logically, and have machine learning capabilities, which enables it to deal with business scenarios in various fields.
For example, in the financial field, Rongzhi RPA can process VAT invoices at a rate of thousands per hour in an unattended state, realizing automatic three-order matching and recognition accuracy up to 99.9%.
In terms of supply chain management, RPA can run through the whole process of warehouse receipt, bill of lading, packing list, waybill, etc., to help employees improve the operation efficiency of the whole chain.
In terms of administrative management, RPA can identify documents for customs declaration, personnel certificates, company licenses and other documents, and even achieve semantic analysis and identification of some files in the public security system and public security law system.
Given RPA’s role in the digital transformation of the enterprise, many enterprises have placed THE deployment of RPA in a strategic position, hoping that it will create considerable ROI and set the standard for industry applications. Behind high expectations are high requirements.
In addition to automating a lot of repetitive tasks, RPA does have promising potential, such as data insight and prediction. RPA provides data insight kanpan function. After exporting a large amount of data from various business systems, it can carry out multi-dimensional data capture and create dynamic multi-dimensional graphic reports according to customers’ business scene requirements. Real-time update, visual display and structured analysis provide detailed data reference for enterprises’ business decisions.
With the rapid development of artificial intelligence technology, RPA will integrate cognitive and decision-making skills into its own, and it is inevitable to become “smarter”. In addition, for large-scale applications, simpler and lower code is also a trend.
For this trend, Rong Zhi believed deeply, and advocated “0 code” from the beginning. As a result, some surprising scenarios appeared for customers. When Rong Zhi did POC (software technology verification test Proof of Concept) for customers, some complex requirements were realized in only one or two hours.
For Rongzhi’s products, 80% or even 90% of scenes can be recorded or drag-and-drop modules to generate automated processes, which makes rapid deployment of course no problem.
Smarter and easier to use, this RPA will be a useful tool in people’s offices. While helping employees to improve their energy output, it will also promote the explosion of enterprise productivity and create more material wealth and business myths. In the foreseeable future, digital employee RPA will become an important force in the development of human society and become a member of our community, so the quality of being smart and easy to use is especially important.