Instruments and Systems: Monitoring, Control, and Diagnostics Annotation << Back The use of Artifi cial Intelligence in Data Center Management Systems A.A. GRIGORIEV, E.A. ISAEV Algorithms and predictive analytics to analyze large amounts of data allows data center operators to identify patterns and make informed decisions for optimal resource allocation, workload management and capacity planning. Artifi cial intelligence in the data center allows you to influence and reduce possible downtime, optimize the load on cooling systems, increase fault tolerance and security levels. One of the world's leading IT giants, Microsoft, uses artifi cial intelligence to analyze data and generate warnings about security threats during the construction and operation of data centers. Google uses AI technologies to optimize its cooling system and predict the power of wind turbines coeffi cient (PUE) by 15 %. Using AI algorithms and machine learning, engineers from one of the social networks develop simulations of complex situations in order to optimize power consumption, cooling and ventilation of their servers. Sberbank has accumulated a huge amount of data, based on which artificial intelligence models are trained. Now these models adapt themselves to internal changes and allow for quick checks for the presence of protected data. Keywords: data center, energy efficiency, artificial intelligence, machine learning, neural networks, intelligent control systems, sustainability, efficiency, security, productivity. DOI: 10.25791/pribor.1.2025.1551 Pp. 18-27.