Automatic summaries: How are they generated?

overview:

‍Sally, our meeting tool, uses modern AI technologies to automatically transcribe meetings and translate key information into a structured summary. This summary helps to identify key points, tasks, decisions and next steps quickly and efficiently.

Summary preparation process:

1. Voice recording and transcription:
At the beginning, the meeting is recorded, either via microphones or integration with common meeting platforms such as Zoom, Microsoft Teams or Google Meet. The audio recording is then converted into text in real time by Sally's voice recognition system. This move uses advanced speech-to-text technologies to accurately transcribe spoken language.

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2. Key extraction points:
Once transcribed, Sally uses AI and machine learning models to extract the most important information. This is done by identifying key topics, central statements and recurring patterns in the course of the conversation.

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3. Categorization into key points, tasks, decisions and next steps:
The extracted information is automatically divided into four categories:

1. Key points: The main topics of the meeting.
2. Tasks: Assigned tasks or responsibilities.
3. Decisions: Decisions or agreements agreed upon.
4. Next steps: Planned actions or follow-up measures.

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4. AI-powered refinement:
Sally's AI helps to avoid repetitions and smooth out unclear wording. Machine learning also allows the tool to learn how to create even more accurate and relevant summaries for future meetings.

Outcome:

‍At the end of the process, Sally provides a clear, structured summary of the meeting, which helps participants quickly get an overview and ensures that no important details are lost.

Conclusion:

‍With Sally's automated summary, teams save valuable time and can focus on taking the next steps quickly.

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