AIOps was supposed to be the revolution we’d all been waiting for. The idea was powerful: combine the might of big data and sophisticated machine learning to automate those tedious and complex IT operations processes, finally. Gartner introduced the term in 2017, but it was soon co-opted by vendors eager to label everything from anomaly detection to log analytics as AIOps. The result? Confusion. Buyers had no clue what AIOps was, and vendors couldn’t agree on what it did.
I’ve spent years nudging analysts to move on from the AIOps…