Media Coverage >中国电信
中国电信
2024-02-02 13:52:16
| RPA 4.0: Bridging AI and RPA for Intelligent Business Automation RPA 4.0 represents an innovative concept that combines perceptual technologies, cognitive technologies, and RPA technologies to create human-like decision-making capabilities in business processes. The fusion of RPA and Artificial Intelligence/AI opens up vast possibilities and applications. On one hand, this combination enables the automation of simple and repetitive tasks such as email posting, Excel calculations, and file sorting. Moreover, it empowers intelligent decision-making tasks like identity verification, text recognition analysis, customer service assistance, and automatic recommendations. RPA robots can learn from human data and achieve decision-making accuracy comparable to or even surpassing that of humans in complex business scenarios. This breakthrough transcends the limitations of traditional RPA technology, which only processes tasks based on specific rules, and enables a deeper understanding of business contexts. The structure of RPA+AI is designed as follows: 1. AI+RPA (Intelligent Brain) communicates with the robot through monitoring, decision-making, operation, and control engines. 2. The robot enhances its performance in tasks such as optical character recognition, natural language processing, and voice interaction through AI. 3. The robot's work data is fed back to AI+RPA (Intelligent Brain), which is trained by algorithms, learns from itself, and selects better operational routes. Artificial Intelligence/AI, introduced in 1956 at the Dartmouth Institute, is a technology that simulates human consciousness and thought processes, responding to stimuli and learning from them. In essence, AI acts as the "brain instructions" while RPA serves as the "hands and feet operations." RPA tends to execute commands, while AI focuses on giving instructions. RPA robots automate tasks and provide valuable data to AI, which simulates and enhances processes based on the provided data. RPA is process-centric, while AI is data-centric. By integrating machine learning and deep learning, AI possesses autonomous learning capabilities. Its technologies such as optical character recognition, natural language processing, and speech recognition enable cognitive abilities and continuous improvement through big data, resulting in intelligent decision-making and operations. As RPA technology and AI continue to evolve, their integration will become faster and deeper, becoming a major trend in the industry. Hangzhou Intelligence Indeed Technology Co., Ltd., an AI startup, specializes in intelligent decision-making for complex problems. Their AI + RPA technology creates widely used "intelligent assistant robots" across operators, e-commerce, and other industries. Their mission is to help governments and enterprises transition from "labor-intensive" to "AI-intensive" operations, leading to disruptive innovation and transformation of production modes and business processes. |
