Abstract: A method and system for predicting incidents in an application environment are disclosed. The method includes receiving, by the at least one processor, a set of data from a plurality of data sources associated with the application environment. The method further includes unifying, by the at least one processor, the received set of data into a unified set of metrics. The method further includes analyzing, by the at least one processor using a trained model, the unified set of metrics to identify a set of anomalies indicative of a potential incident. The method further includes validating, by the at least one processor, the identified set of anomalies to confirm the potential incident. Thereafter, the method includes generating, by the at least one processor, an alert based on the confirmed potential incident.

Abstract: A building system of a building, the building system including one or more memory devices configured to store instructions thereon that, when executed by one or more processors, cause the one or more processors to receive occupancy data of occupants from an occupant tracking system, the occupancy data indicating locations of the occupants within a building space of the building. The instructions cause the one or more processors to determine, based on the occupancy data, whether one or more occupants of the occupants have violated a social distancing policy that reduces a spread of an infectious disease within the building based on the locations of at least two of the occupants, the social distancing policy based on one or more characteristics of the building space and perform one or more operations to improve compliance with the social distancing policy within the building.

Abstract: A building system of a building, the building system including one or more memory devices configured to store instructions thereon that, when executed by one or more processors, cause the one or more processors to receive occupancy data of occupants from an occupant tracking system, the occupancy data indicating locations of the occupants within a building space of the building. The instructions cause the one or more processors to determine, based on the occupancy data, whether one or more occupants of the occupants have violated a social distancing policy that reduces a spread of an infectious disease within the building based on the locations of at least two of the occupants, the social distancing policy based on one or more characteristics of the building space and perform one or more operations to improve compliance with the social distancing policy within the building.