The current wave of progress in artificial intelligence (AI) research has reignited the conversation about the role of AI in data center automation. Early examples of AI-based systems have proven their ability to assist data center operators, but they have also introduced new challenges and there are still many questions about the risk profile of such systems that remain unanswered.
Today, most AI deployments for data center management focus on advisory functions: analyzing operational data to find anomalies, predicting the need for maintenance or providing recommendations on how to improve facility efficiency.
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