In the article is devoted to assessing the effectiveness of digital transformation in higher education based on artificial intelligence and data analysis. The model demonstrates the potential to personalize the learning process, select adaptive strategies, and ensure academic integrity through automated assessment and proctoring systems. Using data analysis and real-time monitoring, student performance is evaluated, and the effectiveness of digital transformation is determined based on learning quality, management efficiency, and student satisfaction. Artificial intelligence is not a competitor to teaching staff in higher education but serves as an additional tool to optimize the learning process and enhance effective management.