Abstract: The present invention discloses a solution for event scheduling forecasting for a calendaring system using historically collected event data. In the solution, metrics collected from historic events can be utilized to compute event duration for scheduled and events being scheduled. Metrics such as number of attendees, quantity of topics being covered, and meeting duration can be collected. Metrics can be aggregated from one or more systems including, but not limited to, calendaring systems and presentation systems. A forecasting engine can utilize metrics to compute a duration for events which can be used to advise event coordinators, adjust scheduled event times, and notify of potential schedule conflicts.

Abstract: A programmatic event related to a meeting can be detected. At least one previous meeting similar to the meeting can be determined. A pattern relating to an application state of a set of at least one computing devices can be ascertained for at least one previous meeting. A difference between a current application state of the set of computing devices and an application state indicated by the ascertained pattern can be determined. The current application state of the set of computing devices can be automatically adjusted to lessen the determined difference.

Abstract: A programmatic event related to a meeting can be detected. At least one previous meeting similar to the meeting can be determined. A pattern relating to an application state of a set of at least one computing devices can be ascertained for at least one previous meeting. A difference between a current application state of the set of computing devices and an application state indicated by the ascertained pattern can be determined. The current application state of the set of computing devices can be automatically adjusted to lessen the determined difference.

Abstract: The present invention discloses a solution for event scheduling forecasting for a calendaring system using historically collected event data. In the solution, metrics collected from historic events can be utilized to compute event duration for scheduled and events being scheduled. Metrics such as number of attendees, quantity of topics being covered, and meeting duration can be collected. Metrics can be aggregated from one or more systems including, but not limited to, calendaring systems and presentation systems. A forecasting engine can utilize metrics to compute a duration for events which can be used to advise event coordinators, adjust scheduled event times, and notify of potential schedule conflicts.

Abstract: A method and system provides sub-electronic meetings by: providing the main electronic meeting for a group of attendees over a first channel in a network, the main electronic meeting managed by a moderator; sending a request from the moderator to an electronic meeting service to create sub-electronic meetings for a subgroup of attendees; and providing the sub-electronic meeting over a separate second channel in the network for the subgroup, the sub-electronic meeting occurring simultaneously within the main electronic meeting without disconnecting the subgroup from the main electronic meeting. A first graphic user interface (GUI) for the main electronic meeting is provided to each of the group of attendees. A second GUI for the sub-electronic meeting is provided to each of the subgroup of attendees. The subgroup of attendees is able to communicate privately in the sub-electronic meeting while maintaining their view of the main electronic meeting in progress.