4 Crucial Stages of AIOps
This stage is not just about collecting but also about scrutinizing the information collected to fabricate data tags based on past trends, experiences and patterns.
This step uses the prewritten and learned algorithms to standardize the expertise through codes
One crucial aspect of AI is automation. This takes a new turn in AIOps as we instigate a reaction from data collected and scrutinized.
This phase is all about presenting the data in a form that can be discerned by the officials in power. Here, AIOPs let users generate human-friendly formats like reports and infographics.
Four different stages of AIOps can explain the approach. In some cases, a single tool handles all these stages; in others, there can be four different tools for each of these stages.