Abstract: A smart translation system that translates the input content received from an application based on translation metadata and the application is disclosed. It is initially determined if a translation of the input content exists in a user cache. If it is determined that the translation of the input content exists in the user cache, the translation is retrieved from the user cache. Else, if it is determined that the translation of the input content does not exist in the user cache, the domain and language contexts of the input content are determined and an automatic translation engine is selected based on the contexts and the translation metadata. The translated content is presented to the user via the application while maintaining the look and feel of the application.

Abstract: An authentication and applications access system provides access to a plurality of backend applications via a social media application installed on a user device. Metadata associated with a request to access one of the plurality of backend applications is initially extracted. The metadata is used to authenticate the request via a plurality of validation steps. Upon authentication, the information from the request is provided to the backend application to receive the results responsive to the request. Any sensitive data included in the results is suppressed via data substitution steps from the transmission to the user device. The output from the applications access system with the sensitive data occluded is provided for display on a social media user interface (UI) on a user device.

Abstract: Productivity prediction technique and system, in which user input defining workforce capability parameters is received and a prediction model is accessed. The prediction model quantifies an impact of workforce capability on productivity. The model was generated by applying statistical analysis on historical workforce data for projects and historical process metrics data for the projects. The prediction model is used to calculate a distribution of productivity for a given set of workforce capability parameters and the predicted productivity range for the workforce capability parameters is provided.