There’s a clear distinction between data center management software and a data center infrastructure management (DCIM) tool. It gets missed all the time, but it’s there. DCIM deals with the basic allocation of resources required to maintain the functional level of a data center — energy, processor power, storage, bandwidth, cool air. The rest may deal with higher-level activities such as access control and operating system refreshing, all of which at some point pass through the data center, and all of which have at some point been mislabeled “infrastructure.”
There’s also a clear distinction between Artificial Intelligence and automation. This one isn’t just missed by folks in the general press – it’s actively ignored. AI refers to a class of process whose solution, once attained, would appear to a rational person to have required human intelligence to produce. No matter how long or sophisticated a math problem is, the attainment of its solution is not AI. A spreadsheet is capable of predicting the general trend of a heuristic chart. AI is about discerning patterns that ordinary mathematics would miss.
It would seem a simple enough matter for us to find the overlap between DCIM and AI. Is there a place for artificial intelligence in optimizing the everyday processes of managing infrastructure, and are there tools available now that use real AI toward that objective?
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