The Selector Platform
Selector uses artificial intelligence, machine learning, and NLP-driven, self-serve analytics to provide instant access to actionable insights and reduce MTTR by up to 90%.
Transform heterogenous data To actionable insights
Correlation is a multi-step process that leverages machine learning-based data analytics on the data.
The process starts with normalization. Metrics are auto-baselined, with any dynamic threshold violations being noted. These violations are internally handled as metadata rich events by the system.
Logs are processed using a proprietary log model. Patterns are automatically identified, and clustering applied. Metadata related to the types and rates of each log type are captured by the system. This data similarly is reduced down to events by the system.
From there, temporal and metadata based correlations are performed, allowing relationships between the various types of data to be surfaced. These correlations ultimately result in various insights that power the collaboration aspects of the Platform.
All Platform Features
Selector AI is dedicated to the highest standards of security and privacy. Our initiatives include: