System and method for predicting incidents using log text analytics

This invention describes a system that predicts when computer systems might fail by analyzing their activity logs. It collects logs from various servers and historical failure data, then uses specific methods like finding common sequences or measuring text differences in the log entries to group them and identify patterns that lead to incidents.

Why it matters: Since 2018, advancements in AI/ML, especially in natural language processing and anomaly detection, provide more sophisticated and efficient methods for log analysis and pattern recognition. Modern cloud infrastructure and MLOps tools also make deploying and scaling such a real-time prediction system more feasible.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedHeavy software system, data analytics, real-time processing

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