Artificial intelligence (AI) is being unleashed on business processes, data analytics and a host of other enterprise functions, but its role in data center automation stands to change not just the data center itself but all its infrastructure physical and virtual, to the edge and beyond.
As with most everything AI touches, the data center will become leaner, less costly to operate and achieve higher performance metrics as the transition unfolds, and much of what is done by human operators will be automated just like what was happening in the pre-AI era. Still, experts predict that the shortage of qualified data center operators will continue and may even get worse.
Clearly, there are many ways in which AI can be used to automate data center management. Citing research from Gartner, Sheth notes that by mid-decade the transition from big data to small and wide data will be in full swing, and this will put pressure on data centers to become more flexible and less costly to operate.
Rather than simply crunching through extremely large data sets, AI will use lower volumes of more precise data that will be culled from multiple sources and will reside in multiple formats.