TECH & AI
Using analytics to strengthen operations To survive these compounding stresses, facility managers are turning AI inward. By applying telemetry and predictive analytics to facility management, operators can transition from reactive troubleshooting to holistic system optimisation.
“ Data allows operators to move from managing a facility as a collection of individual assets to optimising it as an integrated system,” Gaurav explains.“ By combining information from servers, cooling systems, power infrastructure and the external environment, operators can identify where capacity is underused, anticipate equipment stress and match cooling and energy use more closely to actual workload demand.”
Chris Pennington, Senior Director of Energy and Sustainability for Iron Mountain Data Centers, emphasises that long-term resilience depends on harnessing data across the entire lifecycle of a facility.
“ To scale AI capacity responsibly, operators must use data both inside and outside the facility to build long-term climate resilience,” he notes.“ Real-time telemetry, predictive climate modelling and grid analytics allow operators to anticipate environmental risks, such as extreme weather events or local grid stress, before they disrupt uptime.”
Chris adds that these digital tools complement sustainable architectural design:“ At Iron Mountain, we combine these data-driven operational insights with a commitment to designing better datacentremagazine. com 69