Threaded Meeting Aggregation for Automated Insight Extraction
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Solution Overview
Problem
Current meeting technologies require manual processes to generate insights, key points, and summaries, which are time-consuming and inefficient, especially when dealing with multiple related meetings.
Innovation Solution
A system that organizes meeting content by generating threads of related meetings based on shared attributes, aggregates metadata and recording terms, and outputs a summary to expedite the review and analysis of meeting content at an aggregate level.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual processes are used to generate insights and summaries from meetings, then detailed analysis can be performed, but the process is time-consuming and inefficient
Solution Approach 1:
The system enables automatic self-service analysis of meeting content through AI-powered processing. The meeting assistant automatically transcribes recordings, extracts key points, identifies decisions, and generates summaries without requiring manual human intervention, thus resolving the contradiction between detailed analysis and time consumption
Solution Approach 2:
The patent replaces manual mechanical analysis processes with automated computational systems. AI algorithms and natural language processing substitute for human manual review, enabling rapid extraction of insights and summaries from meeting recordings while maintaining comprehensive analysis capabilities
2Loss of information
If users review entire recordings and transcripts to determine meeting content, then complete information is obtained, but the review process becomes cumbersome and inefficient
Solution Approach 1:
The system extracts only the most relevant and important information from complete meeting recordings and transcripts. Key points, decisions, action items, and significant discussions are pulled out and presented in condensed summary formats, allowing users to obtain complete information without reviewing entire lengthy recordings
Solution Approach 2:
The patent creates simplified copy representations of meeting content in the form of structured summaries, key point lists, and decision matrices. These copies capture the essential information from complete recordings in an easily consumable format that maintains information completeness while dramatically improving review efficiency
3Measurement precision
If users manually identify related meetings for analysis, then precise control over meeting selection is achieved, but the process becomes complex and time-consuming
Solution Approach 1:
The meeting assistant system performs automatic self-service identification and grouping of related meetings. It analyzes meeting metadata, participants, topics, and content to automatically cluster related meetings together, eliminating the need for users to manually identify and select related meetings while maintaining high accuracy in meeting relationships
Solution Approach 2:
The patent changes the parameters used for meeting selection from manual user-defined criteria to automated multi-dimensional parameters including participant overlap, topic similarity, temporal proximity, and organizational context. This transformation enables precise meeting selection through automated analysis of multiple parameters simultaneously, reducing both complexity and time requirements
Data Source
AI summary
One embodiment of the present invention sets forth a technique for organizing meeting content. The technique includes generating, from a set of available meetings, a thread comprising a collection of related meetings that share one or more attributes. The technique also includes aggregating data for the related meetings, where the data comprises metadata for the related meetings and terms included in recordings of the related meetings. The technique further includes outputting at least a portion of the aggregated data within a summary of the thread.