How AI is Revolutionizing Data Centers

How AI is Revolutionizing Data Centers

Artificial intelligence can miraculously improve efficiencies of next-gen data centers when deployed strategically and paired with adept human oversight.

Whether it’s your own in-house data centers or you rely exclusively on offsite data centers, be in any case IT guys need to ensure whether their data center can handle increased demands generated by a wide range of emerging technologies of the future. Organizations that fail to incorporate these emerging technologies—from cloud computing to big data to artificial intelligence (AI)—into their data center infrastructure will find themselves well behind the competitive curve.

According to Gartner, more than 30 percent of data centers that fail to sufficiently prepare for AI will no longer be operationally or economically viable by 2020.

Whether a company is making capital expenditures in its own facilities or building partnerships with forward-thinking third-party vendors, its transition to an AI-enabled data center infrastructure needs to start sooner rather than later. By hopping on the bandwagon while there’s still room, companies have the chance to leverage AI to improve their day-to-day data center operations in (at least!) the following three ways.

Enhance Cooling Efficiency of Servers

We all know data centers consume an enormous amount of power which basically arise from servers compute and storage operations. To keep you server’s in good health, it needs to be cool. AI-enabled data centers with the help of machine learning algorithms can reap massive energy efficiency benefits. The benefits of AI research go beyond simple power consumption, however. Since cooling systems don’t need to run as heavily, they suffer less wear and tear over time. More importantly, accurate temperature controls informed by real-time sensor data are less likely to cause damage to computing equipment.

Lights Out Automation

With new technologies revolutionizing organizations, it has become harder for IT professionals to keep pace with these new emergences or rather complex technologies. Any human error could cost an organization a lot. This is why organizations are looking to automate operations by machines or robots and AI-enabled data centers just offer the same. AI technology offers solutions like automation, assisting with a range of server functions without automating IT management entirely. AI platforms can autonomously perform routine tasks like systems updating, security patching, and file backups while leaving more nuanced, qualitative tasks to IT personnel. Without the burden of handling each and every user request or incident alert, IT professionals can assume oversight roles over tasks that previously required their painstaking attention, affording them more time to focus on bigger picture management challenges.

Enhanced Cybersecurity of Data Centers

Combating modern cyberattacks can be a struggle for today’s IT guys because they fail to keep pace with all the latest threats. Identifying threats and optimizing systems to counter them is incredibly time-consuming. But when it comes to machine learning systems, they not only evaluate network traffic in real-time to identify emergent threats, also they run continuous simulations and tests to spot potential weaknesses in cybersecurity measures and even spot deeper security issues buried within accumulated data.

Better Equipment Management

With AI-enabled data center organizations could predict which hardware might fail in the future, this may not be as easy as it sounds but with the power of predictive analytics of AI-enabled data centers it might be easy. Average guidelines on the lifespan of hardware can differ with its actual lifespan. With heavy usage, accidents, and defects could reduce the lifespan of hardware, and having to replace it unexpectedly could cause significant system downtime.
With predictive analytics built into DCIM software, data centers can monitor equipment usage trends and real-time performance to gain a much more accurate estimate of when that hardware is inching toward failure. This form of predictive maintenance will allow facilities to replace equipment more efficiently with little or no service disruption.

Artificial intelligence, for now, is not being incorporated into every aspect of data centers operations but the AI will surely be the key in revolutionising data centers in the future because of their above capabilities.

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