Abstract: A system and method to provide computer support for a meeting of invitees comprises accessing one or more sensory data streams providing digitized sensory data responsive to an activity of one or more of the invitees during the meeting, the one or more sensory data streams including at least one audio stream. The method also comprises subjecting the at least one audio stream to phonetic and situational computer modeling to recognize a sequence of words in the audio stream and to assign each word to an invitee, subjecting the sequence of words to semantic computer modeling to recognize a sequence of directives in the sequence of words, and releasing one or more output data streams based on the sequence of directives, the one or more output data streams including one or more notifications.

Abstract: A system and method to provide computer support for a meeting of invitees comprises accessing one or more sensory data streams providing digitized sensory data responsive to an activity of one or more of the invitees during the meeting, the one or more sensory data streams including at least one audio stream. The method also comprises subjecting the at least one audio stream to phonetic and situational computer modeling to recognize a sequence of words in the audio stream and to assign each word to an invitee, subjecting the sequence of words to semantic computer modeling to recognize a sequence of directives in the sequence of words, and releasing one or more output data streams based on the sequence of directives, the one or more output data streams including one or more notifications.

Abstract: Computerized systems are provided for automatically determining and providing enriched action items of an event, such as a meeting. Action items first may be determined and then enhanced or clarified in order to be more understandable by automatically modifying or supplementing the action item based on contextual information, such as related meeting discussion. Action items may be further enhanced through clarification by determining boundaries of their occurrence(s) so that extraneous content not related to the action items or not helpful for user understanding is deemphasized or excluded from presentation to the user. Some embodiments comprise an intelligent graphical user interface with functionality for receiving user feedback. The feedback can be employed to reconfigure the logic, such as machine learning models, utilized to determine the enriched action items to improve accuracy.

Abstract: Computerized systems are provided for automatically determining action items of an event, such as a meeting. The determined action items may be personalized to a particular user, such as a meeting attendee, and may include contextual information enabling the user to understand the action item. In particular, a personalized action item may be determined based in part from determining and utilizing particular factors in combination with an event dialog, such as an event speaker's language style; user role in an organization; historical patterns in communication; event purpose, name, or location; event participants, or other contextual information. Particular statements are evaluated to determine whether the statement likely is or is not an action item. Contextual information may be determined for action items, which then may be provided to the particular user during or following the event.

Abstract: Computerized systems are provided for automatically determining and providing enriched action items of an event, such as a meeting. Action items first may be determined and then enhanced or clarified in order to be more understandable by automatically modifying or supplementing the action item based on contextual information, such as related meeting discussion. Action items may be further enhanced through clarification by determining boundaries of their occurrence(s) so that extraneous content not related to the action items or not helpful for user understanding is deemphasized or excluded from presentation to the user. Some embodiments comprise an intelligent graphical user interface with functionality for receiving user feedback. The feedback can be employed to reconfigure the logic, such as machine learning models, utilized to determine the enriched action items to improve accuracy.

Abstract: Aspects of this disclosure provide systems and methods for managing meeting preparation for attendees. In an aspect, preparation events are associated with upcoming meetings. The preparation events are then viewable in association with the meeting or through other preparation interfaces. The technology can determine due dates and work times for the preparation events that allow the user to complete the preparation prior to a scheduled meeting. The due dates and times can be used to surface notifications and reminders of the preparation events. If a meeting is canceled or rescheduled, the due dates for preparation events can automatically be updated.

Abstract: A system and method to provide computer support for a meeting of invitees comprises accessing one or more sensory data streams providing digitized sensory data responsive to an activity of one or more of the invitees during the meeting, the one or more sensory data streams including at least one audio stream. The method also comprises subjecting the at least one audio stream to phonetic and situational computer modeling to recognize a sequence of words in the audio stream and to assign each word to an invitee, subjecting the sequence of words to semantic computer modeling to recognize a sequence of directives in the sequence of words, and releasing one or more output data streams based on the sequence of directives, the one or more output data streams including one or more notifications.