Meeting Content Facilitation System for Skill Gap Analysis
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Solution Overview
Problem
In organizations, analyzing vast amounts of structured and non-structured data to understand meeting requirements and the skills of entities attending meetings is challenging, making it difficult to identify relevant content for skill enhancement before meetings.
Innovation Solution
A method and system that compute similarity scores between current and past meeting information to identify skill gaps, extracting relevant content from databases to facilitate skill enhancement for service providers attending meetings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If huge amounts of structured and non-structured data are collected from various organizational activities, then the information available for analysis increases, but the difficulty of analyzing the data to generate meaningful information increases
Solution Approach 1:
The patent segments the huge amount of data into different categories (meeting data, skill data, project data, feedback data) and processes each category through specific analysis modules. This segmentation allows the system to handle large volumes of data without overwhelming complexity by treating different data types with targeted approaches.
Solution Approach 2:
The patent introduces an intermediary processing layer that includes natural language processing modules, data normalization components, and skill mapping mechanisms. This intermediary layer transforms raw unstructured data into structured formats that can be efficiently analyzed, reducing the complexity of direct data analysis.
2Measurement precision
If comprehensive data analysis is performed to understand meeting requirements and entity skills, then the accuracy of skill assessment improves, but the time required for analysis increases
Solution Approach 1:
The patent performs preliminary data processing and normalization before the actual analysis. Meeting histories, skill profiles, and project outcomes are pre-processed and stored in structured formats, allowing the analysis phase to focus on comparison and assessment rather than raw data processing, thus reducing analysis time while maintaining accuracy.
Solution Approach 2:
The patent transforms qualitative data (meeting outcomes, skill descriptions) into quantitative parameters (skill scores, competency levels, performance metrics). This parameter transformation enables efficient computational analysis while preserving the precision of skill assessment through standardized measurement scales.
3Measurement precision
If detailed skill gap analysis is conducted by comparing past and current service provider capabilities, then the identification of relevant training content improves, but the computational complexity increases
Solution Approach 1:
The patent applies local quality analysis by focusing skill gap identification on specific domains and competencies relevant to each meeting type and service provider role. Rather than performing exhaustive global comparisons, the system tailors the analysis to local requirements, reducing computational complexity while maintaining precision for relevant skills.
Solution Approach 2:
The patent converts skill descriptions into standardized parameter sets that enable efficient mathematical comparison between past and current capabilities. By representing skills as vectors of measurable attributes, the system reduces computational complexity while preserving the precision of gap identification through quantitative differential analysis.
4Adaptability or versatility
If relevant meeting content is extracted from multiple databases based on skill gaps, then the usefulness of training material improves, but the data processing requirements increase
Solution Approach 1:
The patent extracts only the specific meeting content and training materials that are directly relevant to identified skill gaps, rather than processing entire databases. The system selectively retrieves information based on precise matching between skill deficiencies and training content metadata, reducing data processing requirements while maintaining high adaptability and relevance of the provided materials.
Data Source
AI summary
A system and a method for facilitating meeting content to be referred for attending a meeting. The system receives a current meeting information associated with the meeting. The system computes similarity scores corresponding to a plurality of past meeting information against the current meeting information. The system identifies a past meeting information with highest similarity score and a set of past service provider entities from the past meeting information. The system identifies a past skillset based on a set of past service provider parameters associated with the set of past service provider entities and correlates the past skillset with a current skillset associated with at least one current service provider entity to identify a skill gap, between the past and current skillsets. The system extracts and facilitates meeting content to the at least one current service provider entity for attending the meeting based on the identified skill gap.