Abstract:

This study uses a mixed-methods research approach, combining meta-analysis and systematic Bibliometrix analysis, to explore the use of Business Intelligence (BI) and Artificial Intelligence (AI) in predicting Information Technology (IT) infrastructure in higher education institutions. The synergy between BI and AI serves as a key tool for evaluating and forecasting IT infrastructure, supporting decision-making and strategic IT planning in universities. This research develops predictive models for IT infrastructure investments using BI and AI, ensuring efficient resource allocation and enhancing university decision-making, aligned with the evolving digital landscape in higher education.

Warunee Milinthapunya, Urairat Yamchuti, Anake Nammakhunt, Chatchada Shawarangkoon, Panita Wannapiroon, Prachyanun Nillsook. (2025) Business Intelligence Management with Artificial Intelligence
for Prediction Information Technology Infrastructure in Higher Education.TEM Journal, 14(2), 1378-1387.
https://doi.org/10.18421/TEM142-38