Dimaag-ai, Inc.

Dushyanth Gokhale

Satish Padmanabhan

Fuk Ho Pius Ng

Rajaram Kudli

In many industrial settings, a process is repeated many times, for instance to transform physical inputs into physical outputs. To detect a situation involving such a process in which errors are likely to occur, information about the process may be collected to determine time-varying feature vectors. Then, a drift value may be determined by comparing feature vectors corresponding with different time periods. When the drift value crosses a designated drift threshold, a predicted outcome value may be determined by applying a prediction model. Sensitivity values may be determined for different features, and elements of the process may then be updated based at least in part on the sensitivity values.

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Bengaluru, India

Dushyanth Gokhale