Intelligent task suggestions based on automated learning and contextual analysis of user activity

A method for improving the efficiency of a data processing system, comprising:

• monitoring, by the data processing system, input data defining user activity of a plurality of users for identifying keywords from at least one of a document, a message, a channel thread, an audio recording, or a communication stream;
• analyzing, by the data processing system, the keywords to identify a task, a timeline for the task, and at least one user identity associated with the task;
• analyzing, by the data processing system, calendar data defining a schedule for the at least one user identity to determine that a conflict exists between an appointment on the schedule and the timeline for the task;
• in response to determining that the conflict exists between the appointment and the timeline for the task, generating a notification describing the conflict;
• analyzing, by the data processing system, user activity data associated with the at least one user identity associated with the task, wherein the user activity data indicates a frequency of use of a number of delivery applications and a number of delivery files;
• and
• communicating, from the data processing system, a task description and the timeline for the task to at least one computing device, the communication causing the display of the task description, the timeline for the task, and the notification describing the conflict, wherein the display is embedded in at least one delivery file of the number of delivery files or at least one delivery application of the number of delivery applications having a threshold level of use.

A system for improving the efficiency thereof, the system comprising:

• means for monitoring, by the system, input data defining user activity of a plurality of users for identifying keywords from the user activity associated with at least one of a document, a message, a channel thread, an audio recording, or a communication stream;
• means for analyzing, by the system, the keywords to identify a task and at least one user identity associated with the task;
• means for generating, by the system, a task description based on the keywords;
• means for analyzing, by the system, user activity learning data associated with the at least one user identity associated with the task, wherein the user activity data indicates a frequency of use of a number of delivery applications and a number of delivery files;
• means for communicating the task description to at least one delivery software application of the number of delivery software applications having a threshold level of use, wherein the communication causes the at least one delivery software application to display the task description in a user interface;
• and
• means for embedding, by the system, the task description in at least one delivery file of the number of delivery files having the threshold level of use.