Case Study · 04 / 10
Risk Forecasting & Assessment
Earlier identification of high-impact risks, reduced disputes and cost overruns, and continuous 24/7 monitoring in place of monthly reviews.
Predictive AIIndustrial Risk Management
Early
Detection
Reduced
Disputes
24/7
Monitoring
Challenge
Operational and financial risks surfaced too late, historical dispute and budget data was underutilized, and monitoring was polling-based and reactive.
Solution
Combined LightGBM classifiers for risk typing with an LSTM anomaly detector on streaming operational signals (Kafka), and generated auto-scored risk registers surfaced through a Grafana operator view.
Impact
Earlier identification of high-impact risks, reduced disputes and cost overruns, and continuous 24/7 monitoring in place of monthly reviews.
Tech stack
PyTorchLightGBMKafkaGrafanaPostgres
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