According to the IDC Future Scape: Global Artificial Intelligence Market 2021 Forecast report, "By 2024, 45% of repetitive work tasks will be automated or enhanced through the use of 'digital employees' supported by AI, robots, and robot process automation (RPA)." Conceptually, digital employees are a highly anthropomorphic new type of worker, composed of artificial intelligence, RPA, data It is formed by the deep integration of various technologies such as robots.
Utilizing new digital employee technologies to broaden the scope of work and improve work quality. The future job design will integrate the work and responsibilities of many traditional positions, utilizing digital technology and digital employees to broaden their work areas. At the same time, integrating the strengths of humans and machines to improve work performance. Take the digital employees of Shanghai Pudong Development Bank as an example. They shoulder the functions of customer service, improving operational efficiency, and internal management. In recent years, there have been more than 10 digital employee positions, including intelligent customer service, intelligent outbound calls, wealth planners, AI training, AI marketers, digital quality inspectors, document auditors, AI lobby managers, and other roles. Digital employee positions can greatly expand the business scope of banks, making the process of customers choosing financial products more convenient, thereby improving the quality and efficiency of bank services to customers.
Promote human-machine collaboration and accelerate digital transformation. In the past, the interaction between humans and computers was through humans giving instructions to computers. However, in the future, with the continuous improvement of artificial intelligence technology, computers will also become increasingly intelligent, able to work independently, and become important assistants to humans. Human and computer interaction, integration, co creation, unleashing human potential, unleashing greater power, and creating greater value. For example, iFlytek's digital employees can effectively collaborate with company employees in professional fields such as recruitment, finance, and office work. In file translation, it takes about 4 hours of manual translation, but with 24 minutes of human-machine collaboration, work efficiency has increased by 9 times.