Abstract: In an approach to improve recommendation generating through IoT devices, embodiments abstract specific messaging formats from various IoT devices, map, the abstracted messaging formats to a canonical model associated to device types using based on collected IoT device data, and determine a context of data received from the plurality of IoT devices based on the type of IoT device and historical trend analysis of canonical data points from similar device types. Further, embodiments derive an association between data points among the plurality of IoT devices in a solution, determine one or more contexts of the established data point associations in the solution, and recommend one or more charts, events, and associated data based on a derived context and a visualization map. Additionally, embodiments output, by a user interface, the recommended chart events and associated data.

Abstract: Disclosed is a computer implemented method to adjust device health weighting factors, the method comprising, determine a set of monitored devices including a first monitored device. The method comprises, determining a set of parameters, wherein each parameter is associated with one operating metric of each of the monitored devices. The method comprises, receiving a set of usage data, including a usage history for each parameter. The method further comprises, performing trend analysis on the set of usage data configured to identify a relative influence of each parameter on the set of monitored devices. The method also comprises, generating a set of weighting factors based on the trend analysis, and wherein each parameter in the set of parameters is associated with a weighting factor, and calculating a health score for the first monitored device, wherein the calculation is based on the set of weighting factors.

Abstract: Disclosed is a computer implemented method to adjust device health weighting factors, the method comprising, determine a set of monitored devices including a first monitored device. The method comprises, determining a set of parameters, wherein each parameter is associated with one operating metric of each of the monitored devices. The method comprises, receiving a set of usage data, including a usage history for each parameter. The method further comprises, performing trend analysis on the set of usage data configured to identify a relative influence of each parameter on the set of monitored devices. The method also comprises, generating a set of weighting factors based on the trend analysis, and wherein each parameter in the set of parameters is associated with a weighting factor, and calculating a health score for the first monitored device, wherein the calculation is based on the set of weighting factors.