Why did Chiyoda X-One Engineering introduce the AI agent 'Lightblue'?

To effectively utilize its vast, underused internal knowledge assets, resolve issues of knowledge siloing, accelerate the training of junior employees and technology transfer, and improve the efficiency and quality of design and engineering work.

What key feature of 'Lightblue' was crucial for its adoption?

Its RAG (Retrieval-Augmented Generation) function, which allows the AI to reference internal company databases to provide accurate, context-specific answers, along with its high answer accuracy and ease of implementation.

How does the company ensure data security while using this AI service?

'Lightblue' provides robust security measures, including a setting where input data is not used for model training and operation in an environment isolated from external networks. Chiyoda X-One Engineering also conducted a vendor security check to confirm it meets their required security levels.

Which departments are involved in the rollout of 'Lightblue'?

The initial trial was led by the Power & Control Project Division. The full-scale operation involves distributing IDs to multiple divisions, including Engineering, Energy & Environment Projects, Life Science Projects, Site Operations, and Corporate Management, with a goal of eventual company-wide deployment.

It is a next-generation AI agent service for corporations and municipalities developed by Lightblue Inc., a startup from the University of Tokyo. It can perform tasks like search, summarization, and transcription, and allows users to build custom, secure chatbots without coding.

AI News NQ Analysis

千代田X-One Engineering導入AI與RAG技術，透過AI代理「Lightblue」實現內部知識的「形式化」

NQ 評分 96/100

AI 摘要（NQ 加工版）

千代田X-One Engineering已開始全面運營AI代理「Lightblue」，利用RAG技術活化其龐大的內部知識庫。此舉旨在透過將隱性知識轉化為顯性知識，以提高營運效率、培訓年輕員工並提升設計品質。

AI 分析

常見問題

Q: Why did Chiyoda X-One Engineering introduce the AI agent 'Lightblue'?: A: To effectively utilize its vast, underused internal knowledge assets, resolve issues of knowledge siloing, accelerate the training of junior employees and technology transfer, and improve the efficiency and quality of design and engineering work.
Q: What key feature of 'Lightblue' was crucial for its adoption?: A: Its RAG (Retrieval-Augmented Generation) function, which allows the AI to reference internal company databases to provide accurate, context-specific answers, along with its high answer accuracy and ease of implementation.
Q: How does the company ensure data security while using this AI service?: A: 'Lightblue' provides robust security measures, including a setting where input data is not used for model training and operation in an environment isolated from external networks. Chiyoda X-One Engineering also conducted a vendor security check to confirm it meets their required security levels.
Q: Which departments are involved in the rollout of 'Lightblue'?: A: The initial trial was led by the Power & Control Project Division. The full-scale operation involves distributing IDs to multiple divisions, including Engineering, Energy & Environment Projects, Life Science Projects, Site Operations, and Corporate Management, with a goal of eventual company-wide deployment.
Q: What is 'Lightblue'?: A: It is a next-generation AI agent service for corporations and municipalities developed by Lightblue Inc., a startup from the University of Tokyo. It can perform tasks like search, summarization, and transcription, and allows users to build custom, secure chatbots without coding.