Security & Safety

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Transforming Security & Defence with Increasing Service Availability, Reduce Operational Costs, and Improve Security

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• BDA maximizes security and defense mission capability with AI-driven system operations.

• BDA prioritizes securities locate requests by expected availability, the likelihood of fulfillment, and potential profitability.

• BDA predicts the likelihood of lender recall events for every security-lender combination and learn from recall events to make better predictions over time.

• BDA unifies all telemetry, maintenance, and operational data and runs advanced AI models to monitor asset health and predict failure.

• BDA Predictive Maintenance uses supervised and unsupervised machine learning algorithms to analyze streaming data across the sensor, and asset management systems, to detect anomalies and predict malfunctions before they occur.

• BDA Inventory Optimization applies advanced machine learning to analyze variability in demand, supplier delivery times, quality issues, and product-line disruptions to build real-time recommendations and monitoring, so users can set optimization by confidence level and receive real-time notifications and root-cause analysis.

• BDA uses machine learning techniques to enable accurate forecasting, benchmarking, optimization, demand response, and anomaly detection to improve operations and meet security goals.