Abstract: Providing predictive data predicting data values for a historical dataset. The method facilitates improving the accuracy of the predictive data by identifying for a user, and allowing the user to select ancillary datasets that can be evaluated, using a predictive evaluation, together with a historical dataset to improve the accuracy of the predictive data. A user interface is provided to a user. The user interface identifies one or more ancillary datasets. The ancillary datasets are identified to the user based on the ancillary datasets meeting a threshold condition to a historical dataset. The ancillary datasets are selectable by the user in the user interface. User input is received at the user interface selecting one or more of the ancillary datasets. A predictive dataset is displayed to the user. The predictive dataset is determined by predictive evaluation of the historical dataset and the one or more selected ancillary datasets.

Abstract: Management of a dynamically schedulable meeting is provided. An application such as a calendar application detects a request to schedule the dynamically schedulable meeting. The request includes a time range and meeting attendees. Events on a calendar are analyzed to locate a timeslot for the dynamically schedulable meeting within the time range. The timeslot is identified. In response to a failure to identify the timeslot, other dynamically schedulable meetings are re-scheduled to generate the timeslot. The dynamically schedulable meeting is scheduled at the timeslot.

Abstract: Providing predictive data predicting data values for a historical dataset. The method facilitates improving the accuracy of the predictive data by identifying for a user, and allowing the user to select ancillary datasets that can be evaluated, using a predictive evaluation, together with a historical dataset to improve the accuracy of the predictive data. A user interface is provided to a user. The user interface identifies one or more ancillary datasets. The ancillary datasets are identified to the user based on the ancillary datasets meeting a threshold condition to a historical dataset. The ancillary datasets are selectable by the user in the user interface. User input is received at the user interface selecting one or more of the ancillary datasets. A predictive dataset is displayed to the user. The predictive dataset is determined by predictive evaluation of the historical dataset and the one or more selected ancillary datasets.

Abstract: Embodiments of the invention enable a client device to procure trustworthy device claims describing one or more attributes of the client device, have those device claims included in a data structure having a format suitable for processing by an application, and use the data structure which includes the device claims in connection with a request to access the application. The application may use the device claims to drive any of numerous types of application functionality, such as security-related and/or other functionality.

Abstract: Embodiments of the invention enable a client device to procure trustworthy device claims describing one or more attributes of the client device, have those device claims included in a data structure having a format suitable for processing by an application, and use the data structure which includes the device claims in connection with a request to access the application. The application may use the device claims to drive any of numerous types of application functionality, such as security-related and/or other functionality.