Abstract: In some implementations, a device may monitor a set of data sources to generate a set of language models corresponding to the set of data sources. The device may determine a plurality of sets of keyword groups. The device may generate a plurality of sets of skill catalogs. The device may receive a source document for processing. The device may process the source document to extract a key phrase set and to determine a first similarity distance. The device may select a corresponding skill catalog and an associated language model based on a relevancy value. The device may determine second similarity distances between the source document and one or more target documents using the corresponding skill catalog and the associated language model. The device may output information associated with one or more target documents based at least in part on the second similarity distances.

Abstract: An orchestrator device may receive a request from a first module deployed in a second cloud platform in a second jurisdiction, wherein the request is compliant with a jurisdictional characteristic of the second jurisdiction. The orchestrator device may process the request in order to identify a second module deployed in the first cloud platform to which to forward the request. The orchestrator device may forward the request to the second module to enable fulfillment of the request. The orchestrator device may receive a response from the second module, wherein the response is compliant with a jurisdictional characteristic of the first jurisdiction. The orchestrator device may process the response, to identify a third module deployed in the second cloud platform to which to forward the response. The orchestrator device may forward the response, to the third module.

Abstract: In some implementations, a device may obtain a set of input images, of an object of interest, that includes images that have a plain background. The device may obtain a set of background images that includes images associated with the object of interest. The device may generate, for an input image, a first modified image of the input image that removes a plain background of the input image. The device may generate, for the input image, a second modified image of the input image that is based on the first modified image and a background image. The device may generate, for the input image, a training image that includes an indication of a location of the object of interest depicted in the training image. The device may provide the training image to a training set, that includes a set of training images, for a computer vision model.

Abstract: A device may transmit questionnaires to a set of client devices, wherein the questionnaires include a set of questions that relate to an internal entity experience attribute and/or an external entity experience attribute. The device may receive a set of questionnaire responses and correlate the set of questionnaire responses with contextual data relating to an entity. The device may process, using a machine learning model trained based on data relating to one or more other entities, the set of questionnaire responses and the contextual data to identify a set of features and a set of feature ranks. The device may select a subset of features based on the set of feature ranks and a set of influence thresholds. The device may generate a set of recommendations associated with the subset of features and communicate with one or more other devices to implement the set of recommendations.

Abstract: Systems, methods, and devices for presenting and managing interrelated sets of skills are provided. In some embodiments, a map interface is provided that presents the interrelated skills to a user, and provides the user an opportunity to strategize regarding how best the skills may be acquired to advance on a career path. In some embodiments, an administrative user may use the interface to view an aggregate skill set of employees in an organization.

Abstract: An aspect container being operable to generate an instance of itself at run time is provided. The aspect container comprises logic operable to create an instance of the aspect container by reading configuration information specifying a sequence of one or more aspects from an aspect container configuration file corresponding to the aspect container. The logic is also operable to generate instances of the aspects in the sequence, configure each aspect instance with its configuration information from an aspect configuration file corresponding to the aspect, and chain the aspect instances according to the specified sequence, such that the chain of aspect instances preamble and postamble activities of a class or method.

Abstract: An aspect container being operable to generate an instance of itself at run time is provided. The aspect container comprises logic operable to create an instance of the aspect container by reading configuration information specifying a sequence of one or more aspects from an aspect container configuration file corresponding to the aspect container. The logic is also operable to generate instances of the aspects in the sequence, configure each aspect instance with its configuration information from an aspect configuration file corresponding to the aspect, and chain the aspect instances according to the specified sequence, such that the chain of aspect instances preamble and postamble activities of a class or method.

Abstract: A prescriptive architecture for application development is provided. In some embodiments, the architecture comprises a service, a receiver, a sender, and a transport. The service functions to perform the actual business logic, is decorated with service deployment metadata; and is operable to communicate via types. The receiver is coupled to the service and is generated entirely from the service deployment metadata. The receiver is operable to receive messages, convert the received messages into types, and communicate with the service using the types. The sender is coupled to the receiver and is generated entirely from the service deployment metadata. The sender functions as a proxy for the service to a service consumer, and is operable to communicate using types with the service consumer. The sender is operable to convert the types to messages, and communicate with the receiver via messages.

Abstract: A prescriptive architecture for application development is provided. In some embodiments, the architecture comprises a service, a receiver, a sender, and a transport. The service functions to perform the actual business logic, is decorated with service deployment metadata; and is operable to communicate via types. The receiver is coupled to the service and is generated entirely from the service deployment metadata. The receiver is operable to receive messages, convert the received messages into types, and communicate with the service using the types. The sender is coupled to the receiver and is generated entirely from the service deployment metadata. The sender functions as a proxy for the service to a service consumer, and is operable to communicate using types with the service consumer. The sender is operable to convert the types to messages, and communicate with the receiver via messages.