Trial & Error Remediation

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Trial & Error Remediation refers to the manual, error-prone, and tedious process of applying a protracted list of potential fixes based on “tribal knowledge” to address a system problem. The process continues until the correct fix is found. AIOps solutions attempt to mitigate Trial and Error Resolution by applying AI techniques to determine a short “curated” list of potential remediation actions in order to dramatically shrink the Mean-Time-to-Resolution (MTTR).

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