System and method of monitoring an industrial environment

A method of monitoring an industrial environment, the method comprising:

• classifying datapoints of an industrial dataset associated with the industrial environment into one or more classes using a trained model, wherein the trained model is generated using training dataset, wherein the one or more classes are associated with at least one of a physical quality identifier, one of a location identifier and a device identifier associated with generation of the datapoints, and a unit identifier of the datapoints:
• augmenting the industrial dataset, based on the classifying, to include at least one of the physical quality identifier, the location identifier, the device identifier, and the unit identifier along with an associated confidence metric represented as a percentage indicating confidence of the classifying;
• and
• monitoring operating conditions of at least one asset or at least one process in the industrial environment using the augmented industrial dataset.