Calsoft was engaged by the client to build a logging and analytics system for datacenters, with features like Information Management System to identify taxonomies, anomaly identification and tagging, and classification and categorization of data as per thresholds. The engagement involved developing a system that could:
The engagement primarily involved:
Categorize data (noise, thresholds, tags)
Learn from the past & other environment data to enhance decision making
Improve human capability in decision making
Perform round-the-clock monitoring
Perform continuous adaptation and learn from data