Abstract: A system and method for implementing a talent management platform to determine, from a pool of applicants to a job opening, matching candidates, determine, using a neural network module, a set of feature values from the one or more feature values contained in the talent profiles associated with the matching candidates, generate a query based on the set of feature values, retrieve, based on the query, compensation data from a compensation database, and present, in a user interface, the compensation data as part of potential offers to the matching candidates.

Abstract: An intelligent system and method for analyzing documents and suggesting corrections based on diversity criteria include a processing device to analyze a job document, using a machine learning model, to identify a first expression representing a first qualification requirement favorable to a first class of applicants than a second class of applicants according to a diversity metric, responsive to identifying the first expression, determine, using a semantic relation map, a second expression representing a second qualification requirement that is less favorable to the first class of applicants when compared to the first expression, and responsive to determining that the second expression, present the second expression on the interface device as a suggested replacement to the first expression in the job document.

Abstract: A method comprising receiving media data in a compressed, digital domain, analyzing motion vectors associated with the received media content while in the compressed digital domain and identifying one or more objects in the received media data based, at least in part, on the motion vector analysis.