Bayes Server are proud to serve global leaders in health-care services and equipment manufacturers.
Use artificial intelligence guided Q&A, to iteratively collect information on many possible symptoms and reduce uncertainty about many possible diseases. Systems can be built using expertise from multiple experts and also incorporate data. Bayes Server can automatically determine the best questions to ask.
Make rational, and explainable cost based decisions when there is uncertainty and incomplete information. Make prescriptive decisions in complex uncertain domains containing many symptoms, diseases and treatments with associated costs.
Use causal models, causal inference & causal optimization, to quantify cause and effect relationships and make optimal causal aware decisions based on real world data. Causal Artificial Intelligence is used by policy/decision makers such as governments and heath-care executives.
Use advanced anomaly detection techniques to monitor complex sensor data from multiple sources. Trace the root cause, and the impact of different sensors
Move beyond Fault Trees, Event Trees, Bow-Tie models & FMECA toward sophisticated risk analysis approaches with Bayes Server.