This paper proposes a novel technical architecture for university business software systems in the era of large language models focused on digital intelligence empowerment. The architecture addresses limitations in traditional university data governance frame-works by adopting a ”large platform + small applications” approach, implementing a design solution of “one support platform + three atomic component groups + one service portal.” The intelligent connection infrastructure platform serves as the architectural foundation, supporting the development of atomic data, atomic business, and atomic capability components. These components collaboratively deliver personalized services through an intelligent service portal. Based on this architecture, a complete software ecosystem featuring agile data governance and intelligent technology empowerment can be constructed. The expected application scenarios and analysis demonstrates that this architecture overcomes traditional data governance constraints while fully leveraging intelligent technology capabilities. It supports the sustainable evolution of intelligent business application ecosystems and delivers substantial technical infrastructure for the digital transformation and intelligence enhancement initiatives within higher education.
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Yong Cheng
University of Jinan
Feng Liu
Chongqing Technology and Business University
Yue Qian
International Journal of Software Engineering and Knowledge Engineering
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Cheng et al. (Wed,) studied this question.
synapsesocial.com/papers/6a0567bca550a87e60a1fec1 — DOI: https://doi.org/10.1142/s0218194026500385