On the afternoon of September 15, Zhang Yinsong, Dean of the School of Foreign Languages of Yunnan Agricultural University, and Feng Jun, Deputy Secretary of the Party Committee, led a delegation to visit Grouphorse Group for university-enterprise discussions on cooperation in AI data annotation projects. Zhang Li, President of Grouphorse Group, Jiang Feng, Assistant to the President, and others attended the exchange. The two sides held in-depth discussions on deepening the industry–education integration collaboration mechanism, aligning with cutting-edge needs in the AI data annotation industry, and advancing applied talent development and career development education, reaching broad consensus on further deepening university-enterprise cooperation.

At the beginning of the exchange, Dean Zhang Yinsong and his delegation visited the Huoshan Workshop AI Agent Industrial Park in Yangpu District, Shanghai. As a United Nations Official Supplier and an official supplier to other international organizations, Grouphorse Group systematically showcased its distinctive strengths at the intersection of Language Services and Artificial Intelligence, as well as its achievements in industry–education integration in cutting-edge areas such as AI Data Governance and ESG Industrial Colleges. Drawing on its extensive experience serving international organizations, Grouphorse has transformed international-level service standards and multilingual cross-cultural capabilities into data service capabilities for the AI era, developing core strengths underpinned by experience serving international organizations, grounded in multilingual cross-cultural capabilities, and supported by university-based industry–education integration.

During the introduction of the two sides, Grouphorse gave a detailed overview of its overall layout and core capabilities in AI data annotation. In response to the growing demand for high-quality training data in the Artificial Intelligence industry, Grouphorse has consistently emphasized high standards and rigorous quality management, and is committed to providing reliable, professional, and sustainable data service support for the development of the Artificial Intelligence industry. Drawing on practical experience in demanding scenarios such as healthcare, large-scale AI model training, and multimodal research, Grouphorse demonstrated high-quality Data Governance and closed-loop project delivery capabilities, enabling it to ensure the accuracy and reliability of data services in complex, specialized, and cross-lingual scenarios and demonstrate its professional leadership as a leading enterprise in the industry.

The School of Foreign Languages of Yunnan Agricultural University introduced its educational characteristics, student management work, and future development plans, and expressed its willingness to drive teaching reform through industry needs and cultivate students’ professional competencies through practical platforms. During the main discussion and open session, the two sides focused on industry–education integration and joint talent development in data annotation, exchanged views extensively on pathways and mechanisms for university-enterprise collaboration in talent development, and further consolidated their cooperation consensus.

At present, Artificial Intelligence is becoming an important driving force in the new round of technological revolution and industrial transformation, while the strategic value of data as a new factor of production is becoming increasingly prominent. The multilingual and cross-cultural talent strengths cultivated by foreign-language disciplines are highly aligned with the urgent demand for specialized and refined annotation capabilities in AI data services. This exchange was not only a practical step toward university-enterprise collaboration in talent development, but also a vivid practice of serving the national digital economy development strategy and promoting deeper integration between the education chain and the industry chain.

Looking ahead, Grouphorse Group will fully leverage its professional leadership as a leading enterprise in the industry, use high-quality projects to support education and industry needs to drive teaching, work with universities to create a strong environment for the growth of highly skilled talent, jointly advance the regional AI data services ecosystem, and continue injecting new momentum into the high-quality development of the digital economy.