Abstract: Provided is a process including: determining, based on a machine learning model, a measure of outcome success for a set of job requisitions, the machine learning model trained to determine measures of outcome success for job requisitions based on a set of job requisition training data, and the set of job requisition training data comprising: a set of historical job requisitions; and job outcomes for the set of historical job requisitions; ranking, based on the measure of outcome success, the set of job requisitions to generate a ranked set of job requisitions; and providing, to a job candidate, one or more job requisitions of the ranked set of job requisitions for selection of a job requisition for application by the job candidate.

Abstract: A system and method for updating software in an information handling system are disclosed. The method comprises using an update applicability data model in an information handling system to define a plurality of relationships between at least one instance of at least one hardware device and at least one instance of at least one associated software component in at least one of an inventory context and a packaging context. The method also comprises correlating the at least one instance of the at least one hardware device with the at least one instance of the at least one associated software component in the inventory context. The method also comprises comparing a first instance of a first hardware device with a second instance of a second hardware device in the inventory context. The method also comprises comparing a first instance of a first software component with a second instance of a second software component in the inventory context.