AIOps, at its core, applies intelligence (read AI and ML) to your vast amount of data and then integrates this intelligence into the platform to solve all of the issues listed above
The strategic goal of continuous observation across the ITOps ecosystem is to maintain a stable platform for identifying issues as they arise and addressing them before they cause significant
Traditional IT Service Management encompasses the entire IT service lifecycle. The lifecycle encompasses all stages of the service/s, from design to creation , delivery , support, and management.
ML’s job is to provide you with all of the intelligent inputs. However, you must act quickly on the received input, or else it will be lost. Automation in the form of AI can help you here
By strategizing your AIOps according to your company’s requirements, you can make your system intelligent, automated, analytical, and compatible with technological advancement.