Data centers are increasingly leveraging artificial intelligence (AI) to enhance operational efficiency and reduce energy consumption as demand for AI workloads grows. Major players like Digital Realty, AWS, DPR Construction, and Schneider Electric are implementing AI technologies for cooling optimization, predictive maintenance, and incident response. Although full autonomy is still rare, measurable improvements in energy use, uptime, and responsiveness have been observed.
Current AI deployments mainly involve predictive analytics to anticipate issues, optimize cooling, and enhance resource utilization. While AI can autonomously resolve certain problems, human oversight remains essential for decision-making. According to Roy Illsley, chief analyst for IT operations at Omdia, operators aspire to achieve greater optimization of entire data centers but have not fully realized this capability yet.
Digital Realty’s Innovations
Digital Realty has been employing machine learning for over five years, integrating generative AI into its operations since roughly three years ago. The company’s Operational Data as a Service (OPDaaS) platform aggregates telemetry from various building systems, which enables both Digital Realty’s and its customers’ tools to analyze data, leading to improved efficiency and predictive maintenance. For instance, AI can detect clogged air-cooled system filters, allowing for timely maintenance and substantial efficiency gains.
The OPDaaS platform has already been implemented in over ten data centers, with plans to extend to around 30 more by 2026. The company reported exceptional growth in its portfolio while only marginally increasing water usage, attributing many of these improvements to AI optimizations.
AWS and AI in Network Operations
AWS utilizes generative AI to optimize server placement and reduce stranded power – unused energy in the system. This software enhances network operations by automating incident response, enabling rapid root cause analysis of network issues, and automating problem resolution for routine operational problems.
The ongoing integration of AI allows AWS to monitor fiber-optic infrastructure effectively and swiftly address configuration errors during network development. The application of AI across its operations has significantly reduced operational burdens on engineers, freeing them to tackle more complex challenges.
DPR Construction’s AI Applications
DPR Construction applies AI during the pre-construction phase to analyze data from previous projects, helping to estimate staffing needs and project timelines accurately. They also utilize robotics for site monitoring, capturing high-quality images without the need for human intervention during construction hours.
While these innovations aim to increase efficiency, DPR emphasizes that human oversight remains critical for accountability in decision-making.
Schneider Electric’s AI Integration
Schneider Electric employs AI in its data center infrastructure and operational tools, allowing for real-time monitoring and predictive analytics. By creating digital twins of power and cooling systems, operators can run simulations based on AI insights before executing changes in the physical environment.
The company is scaling its AI utilization across its operations, enhancing efficiency in handling customer requests and sales preparation.
Future Prospects: IT/OT Convergence
As AI technologies advance, analysts anticipate a convergence of IT and operational technologies (OT) within data centers, leading to smarter and more holistic decision-making processes. The integration of data from IT and OT systems will support enhanced optimization across infrastructure management.
Despite these advancements, fully autonomous data centers may remain a distant goal due to trust and accountability considerations. Human operators typically prefer to use AI tools for insights and guidance rather than relinquishing complete control to autonomous systems. Analysts believe that, for the foreseeable future, the balance between AI functionality and human oversight will define data center operations.
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