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Интегриране на изкуствен интелект в центровете за данни
Integrating Artificial Intelligence Into Data Centers

Author(s): Teodora Pasarelska, Rosen Pasarelski
Subject(s): Social Sciences, Communication studies, Theory of Communication
Published by: Институт за знание, наука и иновации ЕООД
Keywords: AI; Data Centers; Energy Efficiency; Automation; Resource Optimization

Summary/Abstract: The integration of artificial intelligence (AI) into data centers is an important direction that pursues goals such as resource optimization, increased efficiency, automation, and data center sustainability. This article explores the practical application of AI technologies in modern data center operations. The main objective is to explore mechanisms and approaches to optimize performance, reduce operating costs and minimize energy consumption through intelligent automation and predictive analytics. Specific objectives include the implementation of AI-driven systems for load management, fault detection, cooling optimization and resource allocation. The study addresses case studies in which the implementation of AI leads to measurable improvements, such as a 30% reduction in power usage effectiveness (PUE), improved server uptime and automated anomaly detection. The results show that AI not only enables real-time decision-making, but also facilitates long-term strategic planning by uncovering patterns and trends in huge data streams

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