Virtual Meeting Agents for Real-Time Semiconductor Decisions
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Solution Overview
Problem
The manufacturing process of semiconductors requires frequent in-person meetings for managers to discuss production issues, which is time-consuming and results in delayed decision-making due to outdated reports, and increasing meeting frequency does not guarantee better outcomes.
Innovation Solution
An execution method and system for virtual meetings utilizing industrial dual AI technology, integrating an analytic AI model for data analysis and a generative AI model for generating hypotheses, enabling efficient discussion through virtual agents and a virtual expert to compile recommendations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If in-person meetings are held frequently for discussing production issues, then decision-making quality is improved, but time consumption and preparation burden increase significantly
Solution Approach 1:
The patent creates a virtual copy of the meeting environment where AI agents replicate human participants' roles and behaviors. These virtual agents process and discuss production data automatically, providing decision-support without requiring physical human presence, thus maintaining decision quality while reducing time consumption
Solution Approach 2:
The patent replaces the mechanical system of human participants physically gathering and discussing with an automated information processing system. AI agents analyze production data, generate insights, and simulate discussion processes, substituting human mechanical actions with automated computational processes that are faster and more efficient
2Loss of time
If report distribution is used for information sharing, then time cost is reduced, but information timeliness and accuracy deteriorate due to time lag
Solution Approach 1:
The patent implements continuous real-time data processing and analysis through AI agents that continuously monitor production systems, analyze data streams, and update insights without interruption. This continuous action ensures information remains current and timely, eliminating the gaps inherent in periodic report distribution
Solution Approach 2:
The patent establishes real-time feedback loops where AI agents continuously analyze production data, generate insights, and make recommendations that are immediately available to decision-makers. This feedback mechanism ensures information timeliness by providing up-to-date analysis rather than delayed reports
3Adaptability or versatility
If meeting duration is extended to cover more discussion topics, then discussion completeness is improved, but participant burden and efficiency decrease
Solution Approach 1:
The patent segments the meeting process into distinct functional components handled by specialized AI agents: data collection agents, analysis agents, recommendation agents, and synthesis agents. Each agent focuses on specific tasks, enabling comprehensive coverage of discussion topics through parallel processing rather than sequential human discussion, thus improving both completeness and efficiency
Data Source
AI summary
An execution method and an execution system for a virtual meeting are provided. The execution method includes the following steps. A discussion item is received. The discussion item is compiled into a plurality of tasks. The tasks are distributed to a plurality of virtual agents. At least one analysis information is obtained by at least one of the virtual agents using an industrial data database. The industrial data database is built via an analytic AI model. At least one guidance information is obtained by at least one of the virtual agents using an industrial knowledge database. The industrial knowledge database is built via a generative AI model. If the analysis information and the guidance information meet the predetermined condition, the virtual expert compiles the analysis information and the guidance information into a recommendation report.