Three Approaches Necessary for Creating Manuals

The seminar on the use cases of generative AI, which will be held in May 2024 and has received many applications, will be available for recorded streaming due to its popularity! "Seminar on Use Cases of Generative AI for Knowledge Sharing and Productivity Improvement, ~ Session 2: Initiatives for Knowledge Sharing Using Generative AI ~" will be streamed on December 5th (Thursday) from 12:00 to 13:00. In this second session, we will introduce initiatives for knowledge sharing using RAG. From the perspective of a manual expert who excels in organizing knowledge, we will present: - Knowledge management using a generative AI chatbot with RAG - The quality of documents that promotes knowledge management with demonstrations included. If you are considering the introduction of generative AI within your company or are exploring ideas for its use, we encourage you to participate actively.

On November 19, 2024 (Tuesday), we will hold a webinar on solving quality-related issues through the use of past trouble data, manuals, and generative AI. Are you able to properly utilize the past trouble information that is scattered within your company, such as market complaints, in-process defects, and design checklists? - Past trouble information is scattered across the quality assurance, design, and production departments, and the formats are inconsistent. - It feels like there have been similar troubles in the past, but we always deal with them from scratch, which is inefficient. - With daily tasks piling up, there is no time to analyze past trouble information. - Only experienced individuals or experts can access the past trouble information that should be referenced. - I need to write reports and manuals, but I don't know how to write them clearly. - The lack of clarity in manuals often causes troubles. This seminar is recommended for those facing such challenges. We will introduce methods to solve your quality-related issues by combining "Qualityforce," a tool from Zuken that utilizes past trouble data and generative AI to achieve recurrence prevention and proactive measures, with the Human Science method, which specializes in improving and standardizing document clarity.