Abstract: Methods, apparatuses, or computer program products are disclosed providing for the dynamic data classification of data objects. Examples enable prediction of candidate data classification labels for data objects associated with one or more applications, services, or computing devices. Examples enable the assignment of one or more data classification labels to a data object for transmission to one or more computing devices. Examples enable the interactive and progressive application of machine learning techniques to data classification systems to assign data classification labels with probable certainty. Examples enable the tracking, monitoring, storage, sorting, and retrieval of labeled data objects. Examples provide for access control configuration of services to restrict or allow access to data objects based on data classifications and other service parameters.

Abstract: Embodiments of the present disclosure provide for improved interoperable data management between a user-accessed software application and an embedded software application. In some contexts, a user-accessed application provides both its own functionality as well as enabling access to functionality of an embedded application. The embedded application is accessed via a data-driven connection that provides several technical advantages and addresses various data interoperability and persistence problems. In some embodiments, a user-accessed application may be configured to provide functionality of multiple embedded applications consistent with the innovations herein described.

Abstract: Embodiments of the present disclosure provide for improved interoperable data management between a user-accessed software application and an embedded software application. In some contexts, a user-accessed application provides both its own functionality as well as enabling access to functionality of an embedded application. The embedded application is accessed via a data-driven connection that provides several technical advantages and addresses various data interoperability and persistence problems. In some embodiments, a user-accessed application may be configured to provide functionality of multiple embedded applications consistent with the innovations herein described.

Abstract: Methods, apparatuses, or computer program products are disclosed providing for the dynamic data classification of data objects. Examples enable prediction of candidate data classification labels for data objects associated with one or more applications, services, or computing devices. Examples enable the assignment of one or more data classification labels to a data object for transmission to one or more computing devices. Examples enable the interactive and progressive application of machine learning techniques to data classification systems to assign data classification labels with probable certainty. Examples enable the tracking, monitoring, storage, sorting, and retrieval of labeled data objects. Examples provide for access control configuration of services to restrict or allow access to data objects based on data classifications and other service parameters.

Abstract: Methods, apparatuses, or computer program products are disclosed providing for the dynamic data classification of data objects. Examples enable prediction of candidate data classification labels for data objects associated with one or more applications, services, or computing devices. Examples enable the assignment of one or more data classification labels to a data object for transmission to one or more computing devices. Examples enable the interactive and progressive application of machine learning techniques to data classification systems to assign data classification labels with probable certainty. Examples enable the tracking, monitoring, storage, sorting, and retrieval of labeled data objects. Examples provide for access control configuration of services to restrict or allow access to data objects based on data classifications and other service parameters.

Abstract: Embodiments of the present disclosure provide for improved interoperable data management between a user-accessed software application and an embedded software application. In some contexts, a user-accessed application provides both its own functionality as well as enabling access to functionality of an embedded application. The embedded application is accessed via a data-driven connection that provides several technical advantages and addresses various data interoperability and persistence problems. In some embodiments, a user-accessed application may be configured to provide functionality of multiple embedded applications consistent with the innovations herein described.

Abstract: Embodiments of the present disclosure provide for improved interoperable data management between a user-accessed software application and an embedded software application. In some contexts, a user-accessed application provides both its own functionality as well as enabling access to functionality of an embedded application. The embedded application is accessed via a data-driven connection that provides several technical advantages and addresses various data interoperability and persistence problems. In some embodiments, a user-accessed application may be configured to provide functionality of multiple embedded applications consistent with the innovations herein described.