THE IMPORTANCE OF CONTROL IN DIGITALLY INTEGRATED SYSTEMS

This article provides a scientific analysis of the role and significance of control in digitally integrated systems. The study examines the challenges of overcoming limitations of traditional control approaches in the context of digital transformation, automating control mechanisms on integrated platforms, and transitioning to proactive AI-based management. An integral control system based on a multi-criteria assessment model, CART decision tree, Random Forest, and logistic regression algorithms is proposed. The research findings establish a methodological basis for improving the efficiency of digitally integrated systems and elevating control quality to a new level.