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  6. [Presentation Material] Generative AI Cannot Read Technical Documents

[Presentation Material] Generative AI Cannot Read Technical Documents

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last updated:Oct 29, 2026

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A history of issues where AI responded with "0 cases." An explanation of how to prepare technical documents in a format that AI can read.

This document is an excerpt from the presentation materials of Flywheel Inc. at the IMPROVE Industrial DX Comprehensive Exhibition 2026. Even with the implementation of generative AI, it is not guaranteed that all internal documents can be searched as expected. Differences in equipment names may prevent finding failure histories, numerical values or notes in charts may be excluded from searches, and revisions of drawings may be overlooked. This document explains, through examples of drawings and reports, the "state of documents to be handed over to AI" that is often a stumbling block at the beginning of AI utilization, and where to start without waiting for the renewal of core systems. [Contents] ■ Three examples of why AI cannot read technical documents ■ Three steps to start with one business and a small amount of documents ■ Case study: AI-Ready data conversion of trouble reports (specific precision equipment) ■ AI-Ready Studio and the concept of measuring results by investigation time ■ Self-diagnosis: How visible are your documents to AI? *For more details, please download the PDF or feel free to contact us.

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[Presentation Material] Generative AI Cannot Read Technical Documents

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【Overview of Materials】 ■Format: Presentation Materials (Excerpt) ■Number of Pages: 12 pages ■Presentation: IMPROVE Industrial DX Comprehensive Exhibition 2026 *The reports and diagrams shown in the materials are reproduction samples and are not actual customer documents. *For more details, please download the PDF or feel free to contact us.

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【Recommended for the following individuals】 ■ Those in departments such as design and development, quality assurance, production technology, and maintenance who handle technical documents like drawings, reports, and defect histories. ■ Those in DX promotion and information systems departments who have introduced generative AI but are facing challenges in utilizing internal documents. *For more details, please download the PDF or feel free to contact us.

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Generative AI Struggles with Technical Documents—Reasons for Stumbling on Drawings and Reports, and How to Start Small on AI-Readiness Without Waiting for Major Overhauls [Presentation Materials]

Generative AI Struggles with Technical Documents—Reasons for Stumbling on Drawings and Reports, and How to Start Small on AI-Readiness Without Waiting for Major Overhauls [Presentation Materials]

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Our company develops and provides solutions utilizing data and artificial intelligence, and offers consulting related to data and product development. We provide a data utilization platform called "Conata," which transforms siloed, personalized, and unstructured data that companies face into a format that is easier for AI to handle. We aspire to be a "flywheel" that accelerates the proactive use of data and artificial intelligence by businesses and individuals, enhancing the efficiency of work and tasks.

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