3 ways AI is changing the data center
May 18, 2020
Industry buzzwords like artificial intelligence (AI), machine learning and predictive analytics are thrown around quite a bit, but what do they mean for data centers? Do these terms represent trends that can actually increase efficiency? The answer is yes. Let’s take a look at a few AI strategies already being employed in data centers.
Optimize workloads through predictive analytics
Making sure data workloads are distributed efficiently is essential to boosting any data center’s effectiveness. Yet it can be a laborious (and expensive) task for IT personnel to keep an eye on distribution around the clock. Thankfully, AI is now able to shoulder the load. Predictive analytics-powered programs now allow IT staff to shift the lion’s share of distribution management to a computer. Tools like this can ensure storage is optimized and load balancing is computed in real time, which means IT staff only need to manage the process at a high level.
Keep things cooler with AI
Even small data centers demand huge amounts of power in order to function, and a significant amount of that power goes toward cooling the hardware. That’s because keeping data center hardware cool is non-negotiable. This task especially becomes increasingly costly when you think about enterprise-scale data centers. Some companies are experimenting with allowing AI to make incremental adjustments to multiple data centers at once. The idea is that, at scale, these minor adjustments could add up to huge boosts in efficiency, which means less energy consumed, reduced costs and increased sustainability.
Using AI to mitigate staffing shortages
At the moment, the demand for qualified IT workers to fill specialized data center jobs is outpacing the availability of such a workforce. Instead of relying solely on beating out competitors for IT talent, companies can instead let AI take on a wide number of server tasks. The more complex jobs would still be left to humans, but AI is more than capable of handling system updates, security patches and backups. This frees up IT staff to shift their attention to large-scale oversight and planning.
This sort of hybrid approach to data centers leverages both human intelligence and AI machine learning to maximize efficiency. And while AI won’t completely replace an IT staff, it can certainly help personnel and data centers alike function more efficiently for the foreseeable future.