Abstract: Methods, systems, and devices for processing a natural language request are described. An identity management system may receive a user request for information maintained in the identity management system and related to a client organization. The request may be received in a natural language form. In response to the user request, a machine learning model may be employed to generate a query in a machine-readable language that is understandable by the identity management system. The model-generated query, when executed, may cause information responsive to the user's request to be retrieved and output for display. Based on receiving a selection of a portion of the information output for display, the machine learning model may be employed to generate a natural language explanation of the selected portion. In some cases, the natural language explanation may be a summarization of information associated with the selected portion and retrieved from multiple data sources.

Abstract: Disclosed are methods, systems, and computer-readable medium for real time data aggregation and analytics. For instance, the method may include receiving indexed streaming data from a plurality of sources, receiving historical data form the plurality of sources, aggregating the indexed streaming data and the historical data in real time to generate aggregated data, generating a machine learning model based on the historical data and providing the machine learning model to the real-time cube, providing the aggregated data to a real-time cube based on a query for the aggregated data, extracting updated data from the aggregated data and, providing the extracted updated data for visualization.