Smart Data Intelligent RPA Intelligent Robot To Accelerate AI Landing

A few days ago, the artificial intelligence enterprise concept data officially launched the first domestic independent research and development set up OCR (optical character recognition) and NLP (Natural Language Processing) in the integration of the concept of intelligent RPA.

Smart RPA creates robot workers

It is reported that RPA (Robotic Process Automation robot process automation), that is, using the robot as a virtual labor force, allows the computer to learn and imitate the steps of human tasks, instead of completing repetitive business operations, and achieving end-to-end process automation. The value of RPA lies in automating the repetitive labor of enterprises and achieving business efficiency.

The media understands that unlike traditional RPA, the concept of intelligent RPA solves the "last mile problem" of process automation. Through the natural language logic classification, natural language data extraction, recognition and deep learning mode prediction, the coverage of RPA application scene is increased by 4 times. Chen Yunwen, founder of the data, introduced the innovative integration of RPA and AI, giving the robot the ability to learn and think and create smarter robot workers.

　　 Breaking the traditional RPA capability boundary

In addition, integration of self sensing OCR technology and NLP cognitive technology, the concept of intelligent RPA broke through the traditional RPA can not deal with the problem of unstructured data sources, such as picture recognition code identification, document identification, paper document recognition, contract extraction, financial statement extraction, reporting and other business needs, extending the chain of enterprise automation.

It is understood that the NLP component integrated in the RPA of intelligent intelligence is developed independently by the concept of data. The algorithms such as CRF, HMM, HAN, Bi-LSTM, BERT and so on are applied to the key tasks such as key information extraction, contract preview, compliance check and so on.

In the aspect of the OCR component of RPA, the fusion of CRNN, Attention OCR, Faster-RCNN, Mask-RCNN and other dozens of algorithms has solved the problems of image recognition and transformation, such as the recognition and processing of various types of documents such as general characters, certificates, financial reports, complex forms, contracts, drawings, and so on.

　 Overweight RPA: more compatible, more open, more flexible, more stable, more intelligent.

Not only that, the data from NLP and OCR are cut into the scene, and the usability and accuracy of the two industries are combined in the industrial design level. At the same time, aiming at the characteristics of the enterprise users, the new RPA products are built from the aspects of compatibility, flexibility, openness and stability.

In terms of compatibility, RPA, which is built by the concept of data, supports cross platform deployment, and applies Linux, Windows, Mac, domestic OS and other operating systems. In terms of openness, it supports automation of various applications such as Chrome, IE, Firefox, App, Email, Office, and App.

In terms of flexibility, the development platform supports automatic typesetting, dragging and programming, while the control center supports a variety of timed tasks and role rights management. In terms of stability, RPA has implemented 7*24 hours of operation, real-time monitoring of robots and task execution status; in terms of intelligence, by integrating self-developed OCR and NLP components, new products support the transformation and understanding of unstructured data.

　　 Accelerate RPA+AI ecological landing

At present, RPA has launched dozens of different robot employees in banking, finance, taxation, government affairs, insurance, securities funds and so on. In the scenes of after-sale job processing, business case report generation, supplier access verification, intelligent government administration approval, financial documents extraction, inspection and filling, robot workers have been carrying out various tasks steadily.

It is reported that the concept of data is also actively join hands with industry partners to build RPA+ ecosystem, expand more RPA scenarios, accelerate the RPA+AI ecosystem in China's intelligent applications landing and innovation.