Current IoT platform enables observation of raw data on a dashboard that leaves a lot of questions unanswered. Today’s digital twins are based on thresholding or banding of sensor amplitudes (or some point-measurements on their FFTs) which are replete with False Positives.
A call to our secure API summons the power of TwinARC into an existing IoT platform. Our solution combines Rules Digital Twin that DETECTS ISSUES, Stats Digital Twin that ASSIGNS PROBABILITIES and using a META LEARNER, makes the traditional “brittle” digital twin outputs a thing of the past. Once the data clears certain technical hurdles, our CAUSAL Digital Twin can perform “Root-cause” and “What-if” analysis that leads to deeper performance understanding and unprecedented improvement!