Industry Insight

How data center AI and Machine Learning are set to change the game for operations

How data center AI and Machine Learning are set to change the game for operations

Over the next few weeks Tracy Collins will be sharing a series of articles highlighting the specific challenges that data center operations teams face. Tracy is also speaking about AI and Machine learning in data centers at the Data Center World Show in Texas on March 29th, 2022.

For EkkoSense, billions of data points translate directly into more reliable, higher quality data centre optimisation

For EkkoSense, billions of data points translate directly into more reliable, higher quality data centre optimisation

At EkkoSense we often talk about how it’s time for data centre monitoring to start getting much more granular – but what do we mean by that? And how granular do you need to be?

Machine learning data center optimization – five pieces of advice

Machine learning data center optimization – five pieces of advice

Data centers and the workloads they power are simply too critical to be left to automated systems. While machine learning and AI have enormous potential, we don’t believe you should just trust AI to get on with managing the sensitive security and controls needed for critical data center cooling duty performance.

Machine learning and AI data center optimization. How can it make a difference?

Machine learning and AI data center optimization. How can it make a difference?

For several years, AI and machine learning have been used as buzzwords to signal the vision of an automated data center that’s more resilient and costs less to run. But the reality as we have shown is that most data center operators are still living in a reactive world – often spending most of their time chasing down problems and putting out fires.

Traditional software toolsets simply can’t balance escalating IT workloads with the need to cut data center energy consumption

Traditional software toolsets simply can’t balance escalating IT workloads with the need to cut data center energy consumption

Michael Yong, Director of Sales for APAC at EkkoSense, shares the first in a series of four articles on AI and Machine Learning in data centers.
The first one is titled – “Traditional data center software toolsets simply can’t balance escalating IT workloads with the need to cut energy consumption" and Michael discusses how data centres have to balance being busier than ever with the pressure to be energy efficient.