Artificial intelligence is disrupting and transforming nearly every industry, with simple tasks to complex workflows being shifted from human to machine. The IT realm is no exception, with machine learning algorithms being leveraged to help data centers improve efficiency, productivity and overall performance. Even tech powerhouse Google is using its own DeepMind technology to manage the consumption of power at its server farms, resulting in a 40 percent reduction of electricity usage.
AI and machine learning technology presents a tremendous opportunity for IT operations teams to automate and streamline critical functions, manage infrastructure and react swiftly and effectively to problems without the need for human intervention. Many well-known, global enterprises are now turning to automation to do everything from previewing incidents and working on operations parameters to overseeing the process of pinpointing and addressing root causes. Automation powered by AI is particularly valuable to the data center because it’s scalable and helps to ensure maximum operability.
One problem data centers of all sizes and in all industries face on a daily basis is the increasing number of events that are occurring. Many are experiencing millions upon millions each day. There is simply no human team that can handle that kind of volume. The answer is automation, but it goes beyond that. At this volume, relying on alerts and escalations won’t cut it. Data center leaders need intuitive machines that can make decisions about how events should be addressed.
What’s more, as data centers achieve scales and speeds well beyond what we’re accustomed to currently, it’s going to reach a point where graphs and reports of alerts aren’t going to be useful to humans. They simply won’t be capable of interpreting them with enough speed and efficiency to maintain the 100% availability they’re striving to deliver. IT leaders will need AI-based automation to be able to analyze and take the appropriate action as needed.
Lastly, automation and orchestration tools that are powered by machine learning will enable data center leaders to effectively predict when problems with the infrastructure may potentially arise. By leveraging available data, future issues can be forecast and circumvented proactively, further reducing the risk of downtime and improving service levels across the board. All of this is made possible through the use of intelligent automation.