Anomaly Detection
AI-driven identification of data points, events, or observations that deviate significantly from expected patterns.
Across the BasaltHQ ecosystem, anomaly detection serves as an early warning system. In BASALTCRM, it flags unusual spikes in customer complaints. In BASALTERP, it detects inventory discrepancies that might indicate theft or data corruption. In the security layer, it identifies login patterns that suggest credential compromise. The system uses a combination of statistical methods (z-score, isolation forests) and deep learning autoencoders trained on your enterprise's specific "normal" behavior, minimizing false positives while catching genuine threats.
Related Concepts
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Explainable AI
AI systems designed to provide human-understandable justifications for their outputs, enabling trust, debugging, and regulatory compliance.
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IoT Telemetry
The automated collection and transmission of data from remote sensors and devices to a central system for monitoring and analysis.
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Predictive Maintenance
Using AI and sensor data to predict when equipment will fail, allowing maintenance to be scheduled proactively rather than reactively.