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.
Data collection:
Data analysis:
This step uses the prewritten and learned algorithms to standardize the expertise through codes
Automated response:
One crucial aspect of AI is automation. This takes a new turn in AIOps as we instigate a reaction from data collected and scrutinized.
Visualization:
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.