Pain Points
01
Traditional methods often fail to extract core points and key questions accurately from financial conference discussions due to the inability to fully comprehend specific terminologies and contexts in the financial domain. This results in summaries and Q&A that may contain misunderstandings or inaccuracies, consequently lowering the reliability of information organization and users' understanding of crucial information.
Pain Points
02
Traditional conference information tends to be scattered and disorganized, making it challenging for users to quickly find essential data. The lack of intelligent navigation features causes users to get lost within vast conference content, unable to directly locate the most critical sections, thereby affecting work efficiency and the accuracy of information utilization.
Pain Points
03
Traditional retrieval methods may suffer from low efficiency in extensive records of financial research, roadshows, and similar conferences due to inaccurate keyword matching or information omission. The presence of numerous heterogeneous data sources such as documents, audio, and video files requires users to invest significant time in finding relevant information, consequently impacting work efficiency and the accuracy of information retrieval.
Pain Points
04
Conventional speech transcription technologies exhibit inadequate accuracy when applied in the financial sector, primarily due to their inability to accurately recognize financial terminologies and colloquial expressions. Particularly noticeable discrepancies in non-standard grammar and vocabulary usage in spoken language exacerbate transcription errors, thus affecting the reliability and efficiency of subsequent text processing tasks.
Full text abstract and key Q&A distilled
Using the MzGPT, efficiently analyze the content of financial conferences to accurately capture key points and extract precise, intuitive full-text summaries for users. Simultaneously, distill key Q&A to enable users to quickly grasp the focal points of discussions, aiding in their better understanding and comprehension of the conference content.
Intelligent navigation of conference key points
The conference assistant automatically extracts key points from financial meetings, forming an intelligent conference navigation system. Regardless of the length of the meeting, it helps users quickly locate important information and directly access the most relevant parts. This capability saves users time, enhances work efficiency, and ensures timely access to critical information.
Semantic search and AI-based question answering for the entire text
With the assistance of the MzGPT full-text semantic search and AI question answering capabilities, it becomes effortless to accurately pinpoint key content within financial conference records and provide users with the most relevant answers. This aids users in quickly finding the information they need, enhancing work efficiency, and ensuring users can accurately grasp the crucial topics discussed in the meeting.
Optimized speech transcription powered by LLM
Using the MzGPT to optimize speech transcription results enables understanding and refining non-standard grammar and wording in speech recognition. This technology can identify and correct errors in spoken language expression, streamline redundant text, greatly enhancing the readability of financial conference transcripts.
Through the intelligent meeting assistant, financial professionals can quickly obtain meeting highlights and core content summaries, saving a significant amount of reading and organizing time. Moreover, accurate summaries provide a comprehensive understanding of meeting discussions, helping users make decisions and formulate strategies more quickly.
The intelligent meeting navigation feature enables quick identification of key information in financial meetings, allowing users to directly access the most relevant sections and saving considerable search time. This precise navigation helps users process information more efficiently, thereby enhancing work efficiency and ensuring the depth and breadth of meeting discussions.
With the help of intelligent search and AI question-answering features, users can easily and accurately locate key content in meeting records and obtain the most relevant answers. This fast and accurate information retrieval method helps users stay informed about industry trends and important issues in a timely manner, providing strong support for decision-making and improving the accuracy and speed of information retrieval.
By enhancing the quality of speech transcription through the intelligent meeting assistant, users can retrieve financial meeting information more quickly and accurately. The optimized speech transcription results better understand subtle differences in spoken language expressions, correct errors, and streamline redundant content, significantly improving the readability and comprehensibility of meeting texts. This enables users to retrieve key information more quickly, reducing the time cost of information understanding, and improving the efficiency and accuracy of meeting information utilization and decision-making.
The Langboat Meeting Assistant can efficiently realize the functions of speech to text and multi-dimensional intelligent analysis of conference. Applicable to office meetings, teaching speeches, media interviews and other meeting scenarios,Provide deep analysis and value mining of meeting contents.
Providing various NLP capabilities with strong versatility in the financial industry through APIs.
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© 2023, Langboat Co., Limited. All rights reserved.
Large Model Registration Code:Beijing-MengZiGPT-20231205
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Address:
Floor 16, Fangzheng International Building, No. 52 Beisihuan West Road, Haidian District, Beijing, China.
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© 2023, Langboat Co., Limited. All rights reserved.
Large Model Registration Code:Beijing-MengZiGPT-20231205