Intelligent Workload Orchestration for Virtual Meeting Action Items
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Solution Overview
Problem
The manual process of capturing minutes of meetings (MoM) and action items (AI) in virtual meetings is prone to errors, misinterpretation, and loss of data, leading to confusion and difficulty in tracking and acting upon MoMs.
Innovation Solution
A system that initiates virtual meetings, converts voice data to text, uses machine learning to generate real-time action items and minutes, and integrates these with third-party applications for automatic task completion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If manual transcription of meeting notes is performed, then the meeting minutes can be captured, but errors and misinterpretations occur leading to loss of information
Solution Approach 1:
The patent replaces the manual mechanical transcription process with an automated speech-to-text system that converts spoken meeting content into written minutes automatically, eliminating human error in transcription while preserving all meeting information accurately
Solution Approach 2:
The patent introduces an intermediary automated transcription system that acts as a mediator between the spoken meeting content and the final meeting minutes, ensuring accurate capture and preservation of all information without direct human intervention in the transcription process
2Adaptability or versatility
If multiple different tools are used to perform tasks based on meeting minutes, then various functions can be achieved, but the process becomes time-consuming and cumbersome
Solution Approach 1:
The patent merges multiple separate tools and processes into a single integrated meeting management system that automatically generates minutes, identifies action items, assigns tasks, and tracks progress within one unified platform, eliminating the need to switch between multiple applications and significantly reducing the time required to execute tasks
Solution Approach 2:
The patent creates a universal meeting management platform that performs multiple functions including transcription, minute generation, action item extraction, task assignment, and progress tracking within a single system, providing adaptability for various meeting needs while streamlining the overall process
Data Source
AI summary
A system, method, and computer-readable medium are disclosed for intelligent User workload orchestration for virtual meetings. A virtual meeting for multiple users is initiated. Voice data of multiple users is received and converted to text data. Machine learning processes the text data to action items to be performed by specific users (i.e., meeting attendees) in real-time. Minutes of the meeting and action items (in the form of real-time and passive recommendations) are generated and provided. In order to perform the action items, determination is made as to which third party applications support the action items and intelligent user workload orchestration is employed.