End-to-end effective citizen engagement via advanced analytics and sensor-based personal assistant capability (EECEASPA)
Abstract:
Providing an end-to-end citizen engagement, in one aspect, may comprise obtaining data of multiple disintegrated sources from one or more of communication and social computing channels via one or more adapters. Data refactoring and management, integration and process orchestration of the data according to a data model as data attributes of the data model may be provided. One or more analytics may be performed based on the data attributes stored according to the data model and input specified to the one or more analytics. One or more results computed by performing the one or more analytics may be provided. One or more application logics supporting one or more front-end applications may be produced. One or more front-end applications for automated sensing of user activities and sensor-based personal assistant capability may be provided.
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