/PRZWT/February 14, 2025 GUANGZHOU - The application of AI in the field of education has become a broad consensus. Universities are at the forefront of technological research and development and application in the field of education. The integration of AI and education to promote higher education reform has become the focus of research. The "National Education Digitalization Strategy Action 2024 Work Points" issued by the Ministry of Education clearly states that the implementation of the large-scale model application demonstration action of artificial intelligence in the education system will take higher education as the entry point and promote the application of generative artificial intelligence in related professional fields.
In the era of digital intelligence business, UF, as the world's leading enterprise software and intelligent service provider, adheres to the "AI First" strategy and is committed to enabling AI to create greater value for the digital transformation of education through the popularization of the new generation of digital intelligence business innovation platform - UF BIP.
UF YonGPT 1.0 was released in July last year and is the industry's first large-scale model of Enterprise Services. On August 10 this year, YonGPT 2.0 was officially released, precipitating models in vertical fields such as finance, manpower, and supply chain, and achieving stronger professional capabilities and a complete large-scale model training system.
Recently, UF BIP has fully launched intelligent services with DeepSeek-V3 and DeepSeek-R1 as the base model. Colleges and universities can use related services through the public cloud and exclusive cloud models of the UF BIP3 R6 intelligent platform.
The launch of DeepSeek's leading DeepSeek model in terms of processing complex information, reasoning capabilities, openness, and operating costs is a continuous upgrade of UF's BIP intelligent services, which will further help enterprises enhance their ability to build agents and the professional performance of enterprise-level complex intelligent services, achieve more intelligent business decisions and business processes, and achieve stronger model capabilities while significantly reducing computing costs, bringing new impetus to the field of educational digital intelligence transformation.
As an open enterprise software and intelligent service platform, UF BIP intelligent service on the pedestal model, in addition to the DeepSeek model launched this time, also provides universities with access to a number of large model services, such as Doubao, Qianwen, and Baichuan, to achieve the integration and innovation of domestic software and domestic large models, providing universities with more flexible intelligent solutions to meet the intelligent needs of different business themes and scenarios in universities.
In the field of educational digital intelligence transformation, especially in the process of financial digital intelligence transformation in colleges and universities, "Al + full-scene intelligent financial service" will deeply empower the intelligent application of college finance, and create a closed loop of various business scenarios of end-to-end unattended finance.
"AI + Finance" full-link, end-to-end unattended college reimbursement business closed-loop
Digital intelligence reimbursement and sharing are the pioneers of intelligent financial intelligence in colleges and universities, with more than 75% of intelligent scenarios being applied to financial sharing. Today, with the deep support of intelligent technology, a new generation of financial sharing has been able to break the original operating procedures and achieve a full-link, end-to-end unattended college reimbursement business.
"AI + Finance" Agent is fully launched
Intelligent form filling, intelligent audit, automatic settlement, generate vouchers, automatic reconciliation, intelligent monthly settlement, automatic printing, automatic filing.
The Agent Digital Intelligence Staff Group automates and intelligently handles a large number of repetitive tasks in traditional finance, reconstructs and reduces a large number of financial processes in colleges and universities, and improves financial work efficiency by reducing operating costs in a timely and accurate manner.
"AI + Finance" business travel cost control (Agent) full attack
The core of "AI reimbursement" is to deeply integrate cutting-edge Agent (agent) technology into the business travel management system. Agent is built on advanced artificial intelligence algorithms, with excellent autonomy, interactivity, reactivity and learning ability, and can highly simulate human thinking and behavior patterns. Through a large number of business travel data samples for learning and training, Agent continuously optimizes decision-making models, accurately perceives environmental changes, deeply understands user requests, and quickly responds accurately and automatically performs complex tasks.
UF Business Travel Cloud ingeniously integrates Agent technology and carefully builds four core services of "AI reimbursement" - reservation agent, audit agent, reimbursement agent and decision agent, and builds an all-round and intelligent business travel cost control ecosystem, which brings revolutionary changes to college business travel management.
Booking Agent: Voice to Start the Intelligent Journey
Booking Agent uses natural language processing, big data analytics, machine learning and other technologies to deeply understand users' travel needs, automatically configure optimal resources, and make business travel booking easy and economical.
Auditing Agent: Consumption is compliance, "0" risk
Audit Agent uses image recognition, text analysis and rule engine technology to conduct all-round automatic audit of consumer behavior and build a strong compliance defense line in colleges and universities.
Reimbursement Agent: Reimbursement entry full closed loop
With the help of data mining, machine learning, natural language generation, OCR technology and system interface integration technology, reimbursement agent realizes automatic analysis, circulation and archiving of financial data throughout the process, and completely eliminates reimbursement troubles.
Decision Agents: Unlocking Precision Insights
Decision Agent integrates big data analytics, data mining, machine learning, data lake visualization and front-end interaction technology to deeply analyze and mine massive travel expense data, providing strong support for financial decision-making.
"AI + Finance" Building New Financial Productivity in Colleges and Universities
Taking UF Group as an example, in 2024, UF Group Finance Shared Service Center has enabled 4 employees of cost control audit number intelligence, 3 employees of contract audit number intelligence, and set up more than 100 audit control rules, covering bill compliance audit, business management rationality audit, financial accounting compliance audit three categories. By analyzing the complexity of the scene, business complexity and the importance level of the amount, 1/3 of the documents use the unattended full number of intelligent staff audit mode, and 2/3 of the business is superimposed by the number of intelligent staff audit and manual audit.
In the case of an increase of more than 50% in the amount of documents in 2023 and 2024, the staff of the sharing center will be effectively reduced and the staff efficiency will be improved. The current Finance Shared Service Center regularly analyzes scene data, continues to deepen the use of digital intelligence employees, enriches the use points of intelligent audit, and realizes the reduction of costs and efficiency of Finance Shared Service Center with digital intelligence employees, and improves operating efficiency.
Only in 2023, Finance Shared Service Center employees independently reviewed 32.5% of the documents (unattended mode), 100% of the documents passed the OCR risk, and the intelligent audit performed a total of 10.56 million checkpoint tasks (business management and financial accounting compliance 5.21 million, bill compliance 5.35 million). A total of 41,000 hours of auditor time were saved. Through business travel data analytics, the agreement hotels and airlines cooperated with the company can be supplemented to ensure that 90% of the routes and 70% of the hotels enjoy the best agreement price.
UF Government has long served the government and the majority of administrative institutions in the digital construction. Over the years, the company has undertaken the construction of digital finance, government finance, social security and medical insurance, rural revitalization and other key business areas of digital work, and achieved fruitful practical results. Relying on the professional advantages of finance and financial informatization, UF Government has been deeply involved in the university industry market for more than ten years, and currently has more than 800 university users across the country.
In the future, UF Government will build a new foundation for digital intelligence with the world's leading UF BIP, which will support the business innovation transformation and management value upgrade of universities, provide strong technical support for the high-quality development of education, and continue to contribute to the transformation and construction of digital intelligence in universities....
