Case Study: SS Global achieves real-time air-quality anomaly detection and fleet optimization with Altair Knowledge Works

A Altair Knowledge Works Case Study

Preview of the SS Global Case Study

SS Global - Customer Case Study

SS Global, an IoT and supply chain consultancy, needed a real-time air quality monitoring solution to map metropolitan AQI from sensor streams measuring temperature, humidity, particulate matter and gases (CO2, CH4, N2O, O3). Engineers required fast playback of historical data to analyze trends and causal relationships, plus reliable anomaly detection that would flag real issues without generating false positives from high-volume, high-velocity streams.

Altair and Oracle built the solution on Oracle Cloud Infrastructure using MQTT for ingestion, Altair Panopticon for real-time visualization and dashboards, and OCI Anomaly Detection to apply ML-based alerts; Google Maps/MapQuest were embedded for fleet routing. The system delivers congestion-free streaming visualization, configurable early-warning alerts, improved municipal fleet routing and driver monitoring, and reduced pollution-related health risks through faster, actionable insights.


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SS Global

Sunil Sharma

Chief Executive Officer


Altair Knowledge Works

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