Machine Learning For The Rest Of Us: How To Cultivate The Citizen Data Scientist

Today’s IT environments present unprecedented challenges for IT teams. Doing more of the same won’t cut it if IT teams are to address all of the urgent imperatives of their organizations. One of the ways IT teams can address their increasing demands is through the use of artificial intelligence for IT operations (AIOps).

As outlined in our prior post, AIOps can yield significant benefits and have fundamental implications for people, processes and technology. However, like machine learning more generally, the true promise of AIOps will only be realized when it moves out of labs and into the business. While AIOps is emerging as a key imperative for many organizations, the reality is that many haven’t broadly deployed or fully operationalized AIOps, meaning its vast potential isn’t being fully realized.

Author: Ali Siddiqui

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