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Revolutionizing Energy Efficiency in Data Centers with AI and Machine Learning [Video]

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Artificial Intelligence (AI) and Machine Learning (ML) are transforming energy management in data centers, a critical sector known for its high energy demands.  Anandkumar Kumaravelu, a leading expert in data center technology, delves into how these innovations enhance energy efficiency, sustainability, and operational performance in data centers, providing valuable insights into the future of digital infrastructure.

Harnessing AI for Predictive Analytics and Monitoring

AI and ML are essential for predictive analytics and real-time monitoring in data centers. Modern facilities are equipped with sensors that gather vast amounts of data, including temperature, humidity, power consumption, and server utilization. AI systems analyze this data to predict potential equipment failures and optimize energy consumption. Predictive maintenance, for instance, allows operators to address issues before they cause system downtime, ensuring that servers operate efficiently and reducing unnecessary energy waste.

Through advanced algorithms, AI can predict server workloads and adjust cooling systems accordingly, leading to up to 40% energy savings in cooling operations. …

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