Building a Triple-Win Mode: University-Enterprise Collaboration for the Chinese AI Ecosystem
With the rapid development of artificial intelligence (AI) technology, university-enterprise cooperation has gradually become an important path to promote AI talent cultivation and industrial development. However, many universities face the problem of insufficient funding and find it difficult to invite corporate experts for guidance; at the same time, enterprises urgently need to cultivate professional talents who can adapt to their ecosystem. To address this dilemma, we propose an innovative mode of university-enterprise cooperation: universities can provide free venues and postgraduate resources, invite enterprises to teach on campus, and enterprises can provide free computing power and software resources. This cooperative approach not only helps universities to make up for the lack of technology and funding, but also enables postgraduates to integrate into the actual work environment and enhance their practical abilities. During this process, postgraduates are integrated into the AI ecosystem of the enterprise, participating in the development and research of real projects, enabling them to gain valuable experience in learning. In addition, enterprises can also expand their talent reserves and optimize resource allocation through this cooperation mode. Such university-enterprise cooperation creates a triple-win situation for universities, enterprises and postgraduates, promoting further development in the field of artificial intelligence and cultivating high-quality AI professionals for society.
Authors
- Guangliang Wu (ORCID: https://orcid.org/0000-0002-3296-9209)
- Jin Liu (ORCID: https://orcid.org/0000-0002-1098-722X)
- Huiping Deng (ORCID: https://orcid.org/0000-0002-8931-6946)
- Zhenxing Liu
Institutions
- Wuhan University of Technology (CN)
- Wuhan University (CN)
- Wuhan University of Science and Technology (CN)
Publication Details
- Published
- 2025-04-18
- DOI
- https://doi.org/10.1109/cste64638.2025.11092130
- Primary Topic
- Collaboration in agile enterprises
- Type
- article
- Field-Weighted Citation Impact
- 0.00