Data-driven & knowledge-based artificial intelligence in cutting-edge educational management

Abstract

In today’s rapidly changing management environment, artificial intelligence (AI) has become more than just a fashion trend, but a key tool for decision-making and workflow optimization [1]. There are two main approaches to AI that play a significant role: knowledge-based AI [2], [3] and data-driven AI [4, 5] . They represent two different but complementary concepts. Knowledge-based AI uses formalized rules and logic derived from human experience, while data-driven AI learns on its own, discovering hidden patterns in vast amounts of information [6], [7]. This combination allows managers to not only automate routine tasks, but also gain deep, previously unseen insights that are essential for competitiveness in today’s marketplace. Understanding the differences and advantages of these two approaches is extremely important for any manager who seeks to effectively use the potential of innovative technologies, which is especially important in times of crisis [8].