Abstract: The present disclosure relates to systems, devices, and methods for integrating enterprise assets with a web experience of enterprise users. The systems, devices, and methods may receive a query from an enterprise user and may provide the query to a search engine. The systems, devices, and methods may receive search results and may enrich the search results with one or more enterprise assets related to the search results. The systems, devices, and methods may present a search webpage with the search results and the one or more enterprise assets.

Abstract: Technologies described herein offer a contextually aware schedule service technology. User-related activity is monitored to detect a future event related to the user. Information is extracted from the monitored user-related activity information. The extracted information about the future event can be evaluated to determine whether it is related to another future event associated with the user. When a particular future event for the user changes, a set of related events may be utilized to determine a related event is affected by the change. For example, a user may be notified to cancel or modify the future event. Additionally, service providers associated with the affected event(s) may be notified, or a personal assistant service may facilitate automatically rescheduling the affected events.

Abstract: Systems, methods, and computer media are described for memory-efficient unarchiving. Data items can be archived and removed from primary data store over time. An archive block containing both a data item of interest and additional data items can be located. The data item of interest, as well as the additional data, can be loaded into a secondary data store. The data item of interest can then be extracted from the secondary data store and reloaded into the primary data store. The secondary data store can then be cleared. Memory-efficient unarchiving more efficiently uses computing resources and unarchives only the data that is needed.

Abstract: Technologies described herein offer a contextually aware schedule service technology. User-related activity is monitored to detect a future event related to the user. Information is extracted from the monitored user-related activity information. The extracted information about the future event can be evaluated to determine whether it is related to another future event associated with the user. When a particular future event for the user changes, a set of related events may be utilized to determine a related event is affected by the change. For example, a user may be notified to cancel or modify the future event. Additionally, service providers associated with the affected event(s) may be notified, or a personal assistant service may facilitate automatically rescheduling the affected events.