AI implementation: navigating the complexities it brings to IT infrastructure management

AI implementation: navigating the complexities it brings to IT infrastructure management
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AI implementation: navigating the complexities it brings to IT infrastructure management
Author: Mike O’Keeffe
Published: Feb, 12 2025 09:07

Summary at a Glance

A maintenance approach that recognises potential issues before they occur by continuously measuring the health of critical infrastructure systems, identifying anomalies, alerting to health events and enabling lifecycle maintenance aligned with actual equipment needs.

Leading critical digital infrastructure equipment manufacturers such as Vertiv provide holistic services that meet the requirements of a new generation of power and cooling systems to support AI applications.

Data centre operations managers traditionally depend on events and alarms from various management systems such as BMS (Building Management Systems) and EPMS (electrical power management systems).

Some new services are able to securely transmit equipment health data to a cloud platform, where AI and machine learning analyse it to produce health scores and detect anomalies.

In high-density compute applications where operation depends heavily on infrastructure performance – including components such as coolant, valves, pumps, filters, batteries, fans and capacitors – the use of enhanced data analytics is essential to provide an effective solution.

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