IC693PWR330C 2023 is the year of the rise and breakthrough of China’s big model, with a year of competition, China’s big model industry has gradually nurtured and formed a stable and competitive head camp. Uf has a more focused and clear goal for the promotion of AI technology with large model as the core in the field of enterprise services, and many of its concepts and practices represent China’s cutting-edge insights and successful exploration in the field of To B large model to a certain extent.
In fact, as early as many years ago, UF has begun to promote “AI + enterprise application”, taking the lead in the industry to put forward the concept of “enterprise data intelligence (digital + intelligent)” and “digital intelligence enterprise”, which expresses the concept of digitalization as the basis, intelligence to generate new value, and digital intelligence business innovation driven by digital and intelligent technology. A new paradigm of data-driven, intelligent operation. Because of this, since 2017, UF’s strategic investment, large-scale research and development to create a new generation of service enterprise digital intelligence product – UF BIP, machine learning, natural language processing, computer vision, knowledge graph, intelligent process automation (IPA) and other technologies into the product innovation, developed a number of enterprise intelligent capability services. It has been widely used in many enterprises.
As AI has become the center of global IT technology and industrial innovation, UF has realized that business innovation has also entered a stage of comprehensive digital intelligence innovation, that is, it has focused on the digitalization of data services and entered a new stage of digitalization and intelligence. Digitalization is the various elements and processes of production and operation in the enterprise to form rich data, which is the basis for AI to generate value, and to use AI to empower the enterprise, it is necessary to combine the specific application scenarios of the enterprise to promote intelligent operation.
In July last year, Yonyou took the lead in releasing the industry’s first enterprise service model – YonGPT. As anIC693PWR330C important part of UF BIP, YonGPT meets the needs of enterprises to achieve business integration innovation based on digital intelligence technology, from financial analysis to human resources, from customer service to supply chain optimization. To build AI-driven full-scene intelligent services, reshape the enterprise operation model, and help enterprises accelerate the transformation of digital intelligence.
The value that Yonyou YonGPT brings to the enterprise is not a general large model with several hundred million scale parameters, but an exclusive model that meets the vertical scenarios in the industry and depth of the enterprise, such as intelligent resume assessment, merchant portrait risk identification, intelligent contract risk identification, business analysis and other applications that enable enterprise business and management intelligence. The advent of YonGPT undoubtedly allows enterprises to further clearly see the intelligent enterprise operation picture in the AI era.
At present, YonGPT has gradually penetrated into the operation of enterprises. For example, Xugong Group relies on YonGPT’s information extraction and summary ability, logical judgment ability and content generation ability to improve the accuracy and efficiency of recruitment; Sinochem’s AI technology capability based on YonGPT intelligently recommends highly matched talents to achieve intelligent recruitment.
YonGPT Rapid upgrade iteration
Speed up AI+ landing for enterprises
Today, UF has fully entered the development stage of “ALL in AI” rapid intelligence, and the goal is to make artificial intelligence application innovation in the field of enterprise services go to the world’s advanced ranks based on UF BIP.
Uf believes that the focus of “AI + enterprise application” is in the four directions of intelligent business operation, natural human-computer interaction, intelligent knowledge generation and semantic application generation, and based on this, strengthen the research and development innovation and upgrade iteration of intelligent application. In the UF BIP 3 R5 released in February this year, the performance of the three intelligent applications of Zhiyou, digital intelligence employees, and intelligent search has continued to improve, helping enterprises accelerate their shift to comprehensive intelligent operations.
Zhiyu
It is an enterprise user intelligent assistant based on YonGPT. With the help of task chain technology, “Zhiyou” can quickly perceive user intentions, decompose complex tasks into a series of microservices, and realize generative business analysis and inference prediction through problem insight, motivation mining, simulation calculation, and budget update, providing enterprises with more efficient and convenient business solutions. The upgraded “smart friend” has a smarter brain, can generate richer and more flexible responses in natural language, and has a richer set of skills, a better ability to personalize service, and is a 24/7 personal assistant for enterprises to handle tedious work.
In various enterprise scenarios, we can find the figure of “intelligent friends”, such as key generation group message summary, job ID generation, AI interview, intelligent generation of sales orders, intelligent monthly settlement, sharing intelligent customer service documents, etc. For example, when the manager tells Zhiyou to “help me analyze the human efficiency situation next year”, Zhiyou can first accurately understand the user’s intention, then break down the complex task into four key steps, automatically call the relevant business API to perform the task, and finally output an integrated analysis result, which greatly improves the efficiency of enterprise business analysis and prediction, and provides strong support for enterprise decision-making.
