Data centers are undergoing constant changes as business needs are constantly evolving. When it comes to data center operations there is no such thing as an easy or simple change. Each change has a trickle-down chain reaction effect throughout the entire facility. Minimizing risk and avoiding unplanned outages often overshadows any attempts at optimization. As a result data centers are missing the mark and wasting energy by operating at less-than-optimal performance. Conversely, research shows an effective thermal & electrical optimization program could contribute globally to more than the equivalent of $1.7 billion in cooling cost savings & more than 3.38 million tons of CO2. The implementation of AI-driven machine learning software in data centers across the globe has allowed operators to free up stranded capacity while utilizing predictive analytics to significantly reducing risk while moving data centers to a more sustainable model.

Takeaway

Practical application of Predictive Analytics
Leveraging AI-driven machine learning software can reduce risk & raise profit
Becoming a more sustainable model reduces risk and TCO

Intended Audience

Practical application of Predictive Analytics
Leveraging AI-driven machine learning software can reduce risk & raise profit
Becoming a more sustainable model reduces risk and TCO