Predictive analytics: Drive the data center of the future
We’d all love to predict failures, especially power failures, before they happen. But how do you do that? The key is having smart devices and real-time sensor data to analyze. When you marry that with predictive algorithms and historical and cognitive knowledge on how equipment performs and fails, you get a recipe for reliably predicting component failures—and with enough time to mitigate them on your schedule. (Think: planned vs. emergency.)
In this webcast we’ll discuss:
What predictive analytics in the data center looks like
How predictive analytics can contribute to availability and a lower TCO
Why the human element is so critical
The value of shifting from a reactive to a proactive model
Why was one floor’s laboratory ventilation failing to keep up, when it was even the closest floor to the rooftop fans? Some system sleuthing led two engineers to a fitting conclusion. Read more stories in May Issue 2017.