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ekkosense . com EkkoSense White Paper 2023 – The year to deploy Machine Learning and AI in your data center ?

2023 – The year to deploy Machine Learning and AI in your data center ?

Can you use Machine Learning and AI to balance the impossible – increased data center workloads v energy reduction / ESG targets ?

Today ’ s data centers face a challenge that , initially , looks like it ’ s almost impossible to resolve . Operations have never been busier , and analyst projections suggest workload levels are only going to increase over the next five years – with some projecting compound annual growth rates of as much as 21 % through 2025 . At the same time , critical facilities such as data centers are coming under increased pressure to reduce energy consumption - particularly as the reality of corporate ESG programmes and net zero commitments start to bite .

Jonathan Gould

Vice President NAM EkkoSense jonathan . gould @ ekkosense . com

© EkkoSense | 2023

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Machine Learning and AI to balance the impossible – increased data center workloads v energy reduction / ESG targets ?

Today ’ s data centers face a challenge that , initially , looks like it ’ s almost impossible to resolve . Operations have never been busier , and analyst projections suggest workload levels are only going to increase over the next five years – with some projecting compound annual growth rates of as much as 21 % through 2025 . At the same time , critical facilities such as data centers are coming under increased pressure to reduce energy consumption

– particularly as the reality of corporate ESG programmes and net zero commitments start to bite .

So how can data centers resolve what appear to be two potentially conflicting demands : supporting escalating workloads while still cutting their carbon usage and helping to support ESG goals ?

In this White Paper EkkoSense argues that traditional data center software toolsets – such as BMS , EPMS , CFD and DCIM – can ’ t provide a credible answer as they don ’ t equip operations teams with a complete view of what ’ s really happening in their data centers .

Instead , the answer requires a fundamentally different and more innovative approach , combining more comprehensive sensing , advanced software optimization tools , and the power of Machine Learning and AI algorithms to provide a true real-time visualization of data center performance .

This White Paper sets out how Machine Learning and an AI-enabled software-based optimization can now play a key role in helping data centers to deliver against both workload demands and energy reduction goals . u

DOWNLOAD WHITEPAPERS AT : WWW . INTELLIGENTCISO . COM / WHITEPAPERS www . intelligentciso . com

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