Detecting anomalies can help enterprises of all kinds save money, make money, and even save lives. Anomaly detection problems increasingly can be solved more effectively by broadening the data and context to combine location and temporal data, in real time. Fraud detection, predictive maintenance, supply chain monitoring, social distancing metric tracking, and contact tracing are all examples of anomaly detection applications that can benefit by combining spatial and temporal analysis on real-time data sets. The combined capabilities delivered uniquely by SingleStore, broadens the perspective of business decision-making beyond any narrow specific workload or set of employees based on these usage patterns.
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