AI Uses in Data Centers

Compared to many of the digital transformations we have seen in the past couple years, artificial intelligence (AI) is altering the way we all do business – including in data centers.

An increasingly used term that describes the method of using “machine logic” to solve very complex problems for humans, artificial intelligence also describes the potential for a machine to “learn” similar to the way human beings learn. Software algorithms (programming, more specifically) develop relationships between large sets of data, then repeat the same function using the same algorithms, but including the “learning factor.”

The reason we are hearing so vastly about artificial intelligence is because it is one of the fastest-growing sectors in technology today. Artificial intelligence uses are expected to increase by 63% between last year (2016) and 2022; the prediction is a $16.6 billion market that’s driven by technology companies like IBM, Intel and Microsoft.

According to Siemens, there are specific artificial intelligence uses that are expected to rise between 2019 and 2024:

  • Autonomous robots (self-driving cars): 31%
  • Digital assistants (Siri-like automated online assistants): 30%
  • Neurocomputers (machines that recognize patterns and relationships): 22%
  • Embedded systems (machine monitoring and control): 19%
  • Expert systems (medical diagnosis and the smart grid): 12%

Artificial intelligence uses in data centers are also expected to heighten. AI can help data centers reduce energy consumption and operating costs while improving uptime and maintaining high levels of performance. Need a few examples? Let’s take a closer look.

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