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: Provided is a method for generating a data backup strategy for a computer system. The method comprises receiving an event related to a change in a computer system. The method further comprises applying regression techniques on historical data related to previous events for the computer system to determine a failure prediction score for the computer system. The method further comprises calculating a set of backup parameters for performing a backup of data of the computer system. The method further comprises generating a score for the backup using the set of backup parameters. The method further comprises determining a backup strategy for the computer system based on the score.

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.

Abstract: A method for dynamically assembling a mobile application includes the steps of: (i) receiving a plurality of artifacts from a programmer; (ii) storing the received plurality of artifacts in an artifacts database; (iii) receiving, from a user, a request for a dynamically assembled mobile application, the request comprising a plurality of parameters defining a desired output of the dynamically assembled mobile application; (iv) identifying, using the received plurality of parameters, a template for a mobile application configured to achieve the desired output; (v) identifying, using the identified template, a plurality of the artifacts stored in the artifacts database; (vi) assembling the identified plurality of artifacts into a mobile application comprising an installable file, wherein the assembled mobile application was previously not available to the user; and (vii) making the installable file available to the user.

Abstract: A method for dynamically assembling a mobile application includes the steps of: (i) receiving a plurality of artifacts from a programmer; (ii) storing the received plurality of artifacts in an artifacts database; (iii) receiving, from a user, a request for a dynamically assembled mobile application, the request comprising a plurality of parameters defining a desired output of the dynamically assembled mobile application; (iv) identifying, using the received plurality of parameters, a template for a mobile application configured to achieve the desired output; (v) identifying, using the identified template, a plurality of the artifacts stored in the artifacts database; (vi) assembling the identified plurality of artifacts into a mobile application comprising an installable file, wherein the assembled mobile application was previously not available to the user; and (vii) making the installable file available to the user.

Abstract: A method for dynamically assembling a mobile application includes the steps of: (i) receiving, from a user, a request for a mobile application comprising at least one parameter; (ii) searching a profile database for a profile associated with the user; (iii) retrieving, from any identified profiles, a characteristic of the user; (iv) identifying a plurality of artifacts in a database of artifacts, wherein the plurality of artifacts are associated with the at least one parameter; (v) assembling the identified plurality of artifacts into a mobile application installable file; (vi) making the installable file available to the user.

Abstract: A method for dynamically assembling a mobile application includes the steps of: (i) receiving, from a user, a request for a mobile application comprising at least one parameter; (ii) searching a profile database for a profile associated with the user; (iii) retrieving, from any identified profiles, a characteristic of the user; (iv) identifying a plurality of artifacts in a database of artifacts, wherein the plurality of artifacts are associated with the at least one parameter; (v) assembling the identified plurality of artifacts into a mobile application installable file; (vi) making the installable file available to the user.