Today, with the increasing development of digital technology, a new type of productivity is emerging in the era of digital economy - "RPA digital employees". With efficient, precise and reliable working capabilities, it can help companies automate tedious and repetitive work, thereby improving production efficiency and reducing costs, and is gradually becoming an important force in promoting "new productivity".
With the development of generative AI technology, the potential of RPA digital employees has been further released. Combined with generative AI technologies, RPA digital workforce capabilities and adaptability are enhanced. They are no longer just tools to perform preset tasks, but agents capable of self-learning, self-optimizing and innovating. It can better understand and meet the needs of users and provide more refined and personalized services, which are beyond the reach of traditional automation tools. The development of generative AI technology has pushed RPA digital employees to a whole new level, becoming a real "smart assistant", promoting the continuous leap of "new productivity", thus creating greater value and competition for enterprises and organizations Advantage.
Facing such trends and potentials, Jin Zhiwei keenly seized this development opportunity. As an enterprise-level RPA expert who is deeply involved in the financial industry and serves thousands of industries, Jinzhiwei strives to continuously develop and improve its RPA+X product matrix and capability platform, and has provided more than 800,000 RPA digital employees for the entire industry.
Recently, RPA China interviewed Jiang Zhigang, Dean of Jinzhiwei Industry Research Institute, and Lin Changle, Executive Vice President of the Cross Information Core Technology Research Institute (established by Tsinghua University) and Lin Changle, Director of Jinzhiwei RPA The research direction of the combination of digital employees and AIGC, the development plan of generative artificial intelligence, and the development of industry models in the field of financial technology were discussed.
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RPA digital employees, new productivity breakers
In this in-depth dialogue, Dean Jiang Zhigang further elaborated Jin Zhiwei's understanding of RPA digital employees. In today's digital economy, RPA digital employees can be regarded as a new kind of productivity, which is highly flexible and scalable, and can quickly adapt to different needs and business scenarios of enterprises. By using RPA digital employees, enterprises can improve work efficiency, reduce labor costs, and enhance the competitive advantage in the development process.
With the rapid development of digital technology and deep accumulation in the field of RPA, Jinzhiwei has formed a significant advantage barrier in the industry, and formed the "RPA+X" with RPA as the core technology and deep integration of AI, low code, big data and other technologies. "Product matrix and capability platform, and then derive the RPA+B model. This model combines the empowerment of industry scenarios and broadens the scope of services, covering the entire financial industry and even thousands of industries. The number of its customers exceeds 1,000, including 400 financial customers. It not only takes the lead in the financial field, but also has achieved outstanding results in the government affairs field and various large enterprises.
According to the "2022 China RPA+AI Market Share Report" recently released by IDC, Jinzhiwei's domestic RPA+AI market share is as high as 10.9%, and it has become an industry leader. This not only verifies its strength and market recognition in the field of RPA digital employees, but also consolidates its key position in the digital economy. With the help of Jinzhiwei's RPA digital employee service, enterprises can make full use of generative AI technology to improve efficiency, save costs, and gain advantages in the competition. In this way, it will inject strong impetus into the progress of the digital economy and even the construction of a digital China.
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AIGC helps RPA digital employees to be intelligent
Generative AI has caused a huge sensation in various industries, making more and more enterprises realize its unlimited potential in improving product power. With the development of technology and the popularization of applications, generative AI is gradually becoming an important tool for enterprises to gain a competitive advantage.
Since the launch of ChatGPT, Jinzhiwei has aimed at the technical direction of AIGC and invested a lot of research and development and resources to promote the combination of RPA digital employees and generative AI. Dean Jiang Zhigang said that in the past, RPA can be understood as a type of software robot with an initial level of intelligence, as a human assistant to assist in various tasks. Although the intelligence level of RPA is relatively limited, through the gradual integration with generative artificial intelligence such as AIGC and ChatGPT, the intelligence and thinking ability of RPA have been significantly improved, and advanced into a smarter RPA digital employee. Looking to the future, it is more likely to achieve expert-level capabilities. It is conceivable that if the intelligence capabilities of RPA digital employees are greatly improved, as a new type of productivity, it will definitely bring great improvement and empowerment to the digital economy and the construction of digital China.
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Strong alliances to realize in-depth application of industry models
In the next step of the development of large models, integration and application with industries will become the goal and key. Regarding the deep integration of large models and specific industries, Dean Jiang Zhigang pointed out that although the current attention to large model technology is extremely high, it still takes a long time to explore and work hard to deeply integrate this technology with the capabilities of digital employees . To truly realize the in-depth application of large models in a specific industry requires an in-depth understanding and accumulation of the industry, and fully consider the special needs and challenges of the industry in order to effectively apply the model to actual scenarios.
Jin Zhiwei has nearly ten years of in-depth cultivation in the fields of banking, securities and asset management, and has collected a large amount of beneficial business and scenario information and data. At the same time, we also look forward to cooperating with excellent external partners in terms of AI capabilities and deep business integration. Through the deep integration and accumulation of the capabilities of the large model and the ability to integrate scenarios with Jin Zhiwei's scenarios in specific financial segments, a fusion similar to a "small model" can be formed, so as to enhance the capabilities of RPA digital employees and innovate The introduction of capabilities brings more changes to financial institutions.
Driven by this concept and goal, the cooperation between the Research Institute of Cross-Information Core Technology and Jin Zhiwei has also gradually started. Lin Changle, executive vice president of the Research Institute of Cross-Information Core Technology and director of the Financial Technology and Regulatory Technology Research Center, introduced that the cooperation with Jin Zhiwei The cooperation mainly includes the following aspects.
The first is the integration of AIGC and RPA in industry applications. As large-scale models gradually enter the deep water area, everyone's exploration of industry-specific large-scale models is also deepening. Such models rely on support from industry-specific domains, which is different from some of the general-purpose large models that we can freely obtain on the Internet. Therefore, the establishment of a corpus of knowledge in the industry's professional domain becomes the cornerstone of building the AIGC model of the financial industry, so it requires the joint participation and contribution of enterprises in the industry. The cooperation between the Cross Information Core Technology Research Institute and Jinzhiwei hopes to jointly create a corpus of professional knowledge in the financial field.
Second, industry expertise requires professional industry models to complete. The Research Institute of Cross Information Core Technology is developing some models specifically for the financial industry. In cooperation with Jinzhiwei, it can combine some mature financial models in professional fields with some processes and application scenarios of RPA.
Third, there may be some risks and safety issues in the large model at present. Under the supervision of the National Financial Technology Evaluation Center, some model governance and model security work will also be carried out. It is hoped that through this kind of cooperation, we can ensure innovation in a safe and controllable environment and serve the industry.
Vice President Lin Changle introduced, "The Institute of Cross-Information Core Technology was established by Tsinghua University, bringing together the strengths of the government, industry, academia and research, and is committed to applying various scientific research and technological achievements to fields and scenarios with industry influence. Among them, it provides services for regulatory authorities, industries and various institutions. The cooperation with Jinzhiwei will greatly accelerate the pace of realizing this goal. As an industry leader, Jinzhiwei has already achieved an important position in the application scenarios of many financial institutions. By in-depth discussion of the application of artificial intelligence and large-scale models in the financial field, it can be directly applied to these actual scenarios. In addition, new problems arising in the practice process will also provide new research directions and bring more new, Interesting research topic."
"The Research Institute of Cross-Information Core Technology has a strong reserve of technical capabilities in the field of AI. The combination of these innovative ideas and Jinzhiwei's deep cultivation and practice in specific industries will definitely produce a 1+1>2 effect. By integrating their respective advantages, empowerment The industry is moving towards a more advanced and intelligent technology development direction, bringing new impetus and changes to the industry." Dean Jiang Zhigang added.