AI Driven Workflow for Training Video Transcription and Knowledge Base

Training Video Transcription and Knowledge Base Creation

1. Initial Setup

1.1 Identify Training Videos

Compile a list of training videos relevant to manufacturing processes that require transcription.

1.2 Select AI Transcription Tool

Choose an AI-driven transcription tool suitable for manufacturing terminology. Examples include:

• Otter.ai – Known for its real-time transcription capabilities.
• Sonix – Offers automated transcription with editing features.
• Trint – Provides collaborative editing and multilingual support.

2. Transcription Process

2.1 Upload Videos

Upload the selected training videos to the chosen AI transcription tool.

2.2 Automated Transcription

Utilize the AI tool to generate transcripts. Ensure the tool is set to recognize industry-specific jargon.

2.3 Review and Edit Transcripts

Assign team members to review the AI-generated transcripts for accuracy and completeness. Utilize editing features in the transcription tool to make necessary adjustments.

3. Knowledge Base Creation

3.1 Extract Key Information

Identify and extract key concepts, procedures, and guidelines from the transcripts for inclusion in the knowledge base.

3.2 Structure Knowledge Base

Organize the extracted information into a structured format. Consider categories such as:

• Safety Procedures
• Equipment Operation
• Quality Control

3.3 Implement Knowledge Management Software

Select a knowledge management tool to host the information. Options include:

• Confluence – Ideal for collaborative documentation.
• Notion – Offers flexibility in organizing information.
• SharePoint – Suitable for larger organizations requiring robust document management.

4. Review and Feedback

4.1 Conduct User Testing

Engage a group of end-users to test the knowledge base and provide feedback on usability and content clarity.

4.2 Implement Feedback

Make necessary revisions to the knowledge base based on user feedback to enhance its effectiveness.

5. Continuous Improvement

5.1 Monitor Usage

Utilize analytics tools to monitor how the knowledge base is accessed and utilized by employees.

5.2 Update Content Regularly

Establish a schedule for regular updates to the knowledge base to ensure it remains current with new training materials and processes.

5.3 Leverage AI for Future Transcriptions

Continuously evaluate advancements in AI transcription tools to improve efficiency and accuracy in future transcription projects.