Breakthroughs in compute and data scale have brought AI firmly into the forefront of many (if not most) conversations about enterprise technology. And, as you would expect, these conversations have spilled into the world of IT, typically under the moniker of “AIOps.” This is great! But it is not without its caveats. AI is hard, IT Ops is hard, and merging the two comes with many potential pitfalls. The key to successfully leveraging AIOps is an “eyes wide open” and fully informed approach. Don’t take any vendor’s marketing as fact — AI, ML, and NNs are not a one-size-fits-all magic wand. Do remember that the point is to make operations easier for humans by providing helpful alerts and context — and the way to do that is to use the right algorithms in the right places at the right times. So, be sure to ask your vendors the hard questions about how they are approaching AIOps with this understanding in mind…

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Chris Grundemann

Creative BizTech & TechBiz Consultant

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