AI Meeting Intelligence System for Automated Transcription and Real-Time Intervention
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Solution Overview
Problem
Electronic meetings often become counterproductive due to inadequate organization and inefficient follow-up processes, leading to wasted time and resource-intensive administrative tasks such as transcription, scheduling additional meetings, and analyzing participation.
Innovation Solution
An apparatus equipped with artificial intelligence that processes audio/video data from electronic meetings to extract content, generate metadata, and provide intervention data and reports, including participant identification, translation services, and meeting efficiency metrics, thereby automating administrative tasks and improving meeting organization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a person serves as meeting moderator to organize the meeting, then meeting organization is improved, but personal biases affect neutrality and time is consumed
Solution Approach 1:
The meeting system performs self-organization through automated transcription, content analysis, and metadata generation without requiring human moderator intervention for these administrative tasks
Solution Approach 2:
The patent replaces the mechanical system of human moderation with an electronic intelligence system that uses audio/video processing, transcription, and automated analysis to perform meeting organization functions
2Ease of operation
If adequate preparation is done for the meeting, then meeting organization is improved, but it is impossible to foresee all possible issues
Solution Approach 1:
The system continuously analyzes meeting content in real-time through transcription and metadata generation, providing feedback that enables dynamic adaptation to unforeseen issues during the meeting
Solution Approach 2:
The system performs preliminary transcription and analysis setup before the meeting, enabling rapid response to unexpected issues without requiring extensive real-time processing
3Reliability
If follow-up actions are performed manually after the meeting, then meeting benefits are realized, but the process is slow and cost-prohibitive
Solution Approach 1:
The system automatically generates transcripts, metadata, and action items without requiring manual follow-up work, making the follow-up process self-executing
Solution Approach 2:
The transcription and analysis process continues seamlessly from during the meeting through post-meeting, eliminating the discontinuity and delay associated with manual follow-up actions
4Loss of information
If manual transcription and analysis are performed, then meeting content is captured, but time and resources are wasted
Solution Approach 1:
The patent replaces manual transcription with electronic audio/video processing and automated text generation, dramatically reducing the time required to capture meeting content
Solution Approach 2:
The transcription process operates continuously during the meeting rather than requiring post-meeting processing, capturing content in real-time without adding separate time overhead
Data Source
AI summary
Techniques related to electronic meeting intelligence are disclosed. An apparatus receives audio/video data including first meeting content data for an electronic meeting that includes multiple participants. The apparatus extracts the first meeting content data from the audio/video data. The apparatus generates meeting content metadata based on analyzing the first meeting content data. The apparatus includes the meeting content metadata in a report of the electronic meeting. If the apparatus determines that the audio/video data includes a cue for the apparatus to intervene in the electronic meeting, the apparatus generates intervention data including second meeting content data that is different from the first meeting content data. During the electronic meeting, the apparatus sends the intervention data to one or more nodes associated with at least one participant of the multiple participants.


