[Information] Preventing "Knowledge Loss" - Inheriting Expertise through AI
White Paper Available! How to Achieve Knowledge Transfer in Manufacturing Using AI
This document is a white paper that organizes the challenges of technology transfer in the manufacturing industry and summarizes five methods for inheriting the wisdom of skilled workers through AI to rebuild on-site capabilities. It analyzes inefficiencies caused by individualization, such as the technological discontinuity (knowledge loss) due to the aging workforce and stagnation in education due to reliance on on-the-job training (OJT). It specifically introduces the evolution towards "explainable knowledge" using AI, as well as the systematization of educational efficiency, quality stability, and knowledge sharing. At the end of the document, there is a checklist that allows you to diagnose your company's knowledge transfer system, so please feel free to download it and make use of it. [Contents (partial)] ■ Introduction - The crisis of technology transfer is robbing on-site capabilities ■ The reality of "knowledge loss" - Workplaces where no one knows ■ Three reasons why transfer is not progressing ■ How AI changes knowledge transfer - Evolution towards "explainable knowledge" ■ The effects of AI transfer - Standardization, educational efficiency, quality stability ■ Future prospects - Turning "human knowledge" into corporate assets *For more details, please download the PDF or feel free to contact us.
- Company:エージェンテック
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