Reduce uncertainty when operating in complex environments with unknown or incomplete information, by the repeated use of AI guided questioning/sensing and updating beliefs based on responses. Build agents using data and/or experts that can then adapt when deployed.
Build solutions to troubleshoot and diagnose complex equipment fitted with sensors, such as aero-engines and gearboxes.
Make rational cost based decisions in complex uncertain environments, such as those where communication is delayed or cut-off, or when AI can outperform humans in terms of accuracy/speed/cost.
Monitor complex sensor data from critical assets to detect anomalous behavior and for predictive maintenance.
Move beyond Fault Trees, Event Trees, Bow-Tie models & FMECA toward sophisticated risk analysis approaches with Bayes Server.
Identify groups and relationships in data that were previously unknown.