Webinar Held: 'Transforming Confidential Information Dormant on Paper, such as R&D Materials and Incident Histories, into Usable Knowledge'
Nakasha Creative Co., Ltd. and Majisemi Co., Ltd. are co-hosting a webinar on how to safely digitize and transform confidential information, such as R&D materials and incident histories stored on paper, into usable knowledge using AI-OCR, generative AI, and RAG. The webinar focuses on AI utilization in closed corporate environments, explaining how to balance convenience and security.
📋 Article Processing Timeline
- 📰 Published: May 7, 2026 at 18:00
- 🔍 Collected: May 7, 2026 at 09:31
- 🤖 AI Analyzed: May 7, 2026 at 10:06 (35 min after Collected)
Click here for details and registration.
■ Information as "Assets" Dormant within Companies
Companies possess a wealth of valuable information accumulated over many years, such as research and development materials and incident histories. These are records of past successes and failures, evidence of technical capabilities, and originally important intellectual assets for generating the next innovation.
However, due to high confidentiality, strict operational rules, and delays in digitalization, the reality is that important information often remains dormant on paper, unused and buried.
■ How to Balance Convenience and Security for Important Information Buried in Paper Documents
So, how can vast amounts of paper documents be utilized as valuable knowledge?
With recent advancements in AI technology, high-precision OCR, advanced search capabilities, and even summarization and analysis by generative AI have become realistic options. It is now fully possible to convert information trapped on paper into a usable format.
However, simply scanning and digitizing paper documents one by one does not resolve issues such as character recognition accuracy, layout collapse, or misrecognition of specialized terms. Mere digitization does not make it "usable knowledge."
Furthermore, highly confidential information such as patent information, technical reports, and incident histories cannot be easily moved to the cloud.
Balancing convenience and security—that is the biggest challenge.
■ Explaining How to Transform Confidential Information Dormant on Paper into Usable Knowledge
This seminar will explain specific methods for safely utilizing important documents that cannot be taken outside the company.
In addition to high-precision digitization by AI-OCR and high-speed, high-accuracy information extraction by proprietary search technology, we will introduce how to utilize confidential information without externalizing it, through a generative AI × RAG configuration that can be used in a company's closed environment, without relying on the cloud.
We will clearly explain the architecture and implementation steps for transforming paper documents beyond mere digitization into "usable knowledge."
■ Recommended for
・Those who are unsure where to start with utilizing paper-based information assets
・Those who feel challenged by searching and utilizing paper documents and past materials
・Those who want to utilize generative AI without externalizing confidential information
・Those considering knowledge management of technical information and incident histories
・Those in a position to promote advanced information utilization and operational efficiency
■ Organizer/Co-organizer
Nakasha Creative Co., Ltd.
■ Cooperation
Open Source Utilization Research Institute Co., Ltd.
Majisemi Co., Ltd.
Click here for details and registration.
Majisemi will continue to hold webinars that "help participants."
Public materials from past seminars and other recruiting seminars can be viewed ▶here.
Majisemi Co., Ltd.
3F Shiodome Building, 1-2-20 Kaigan, Minato-ku, Tokyo 105-0022
Inquiries: https://majisemi.com/service/contact/
Keywords:
■ Information as "Assets" Dormant within Companies
Companies possess a wealth of valuable information accumulated over many years, such as research and development materials and incident histories. These are records of past successes and failures, evidence of technical capabilities, and originally important intellectual assets for generating the next innovation.
However, due to high confidentiality, strict operational rules, and delays in digitalization, the reality is that important information often remains dormant on paper, unused and buried.
■ How to Balance Convenience and Security for Important Information Buried in Paper Documents
So, how can vast amounts of paper documents be utilized as valuable knowledge?
With recent advancements in AI technology, high-precision OCR, advanced search capabilities, and even summarization and analysis by generative AI have become realistic options. It is now fully possible to convert information trapped on paper into a usable format.
However, simply scanning and digitizing paper documents one by one does not resolve issues such as character recognition accuracy, layout collapse, or misrecognition of specialized terms. Mere digitization does not make it "usable knowledge."
Furthermore, highly confidential information such as patent information, technical reports, and incident histories cannot be easily moved to the cloud.
Balancing convenience and security—that is the biggest challenge.
■ Explaining How to Transform Confidential Information Dormant on Paper into Usable Knowledge
This seminar will explain specific methods for safely utilizing important documents that cannot be taken outside the company.
In addition to high-precision digitization by AI-OCR and high-speed, high-accuracy information extraction by proprietary search technology, we will introduce how to utilize confidential information without externalizing it, through a generative AI × RAG configuration that can be used in a company's closed environment, without relying on the cloud.
We will clearly explain the architecture and implementation steps for transforming paper documents beyond mere digitization into "usable knowledge."
■ Recommended for
・Those who are unsure where to start with utilizing paper-based information assets
・Those who feel challenged by searching and utilizing paper documents and past materials
・Those who want to utilize generative AI without externalizing confidential information
・Those considering knowledge management of technical information and incident histories
・Those in a position to promote advanced information utilization and operational efficiency
■ Organizer/Co-organizer
Nakasha Creative Co., Ltd.
■ Cooperation
Open Source Utilization Research Institute Co., Ltd.
Majisemi Co., Ltd.
Click here for details and registration.
Majisemi will continue to hold webinars that "help participants."
Public materials from past seminars and other recruiting seminars can be viewed ▶here.
Majisemi Co., Ltd.
3F Shiodome Building, 1-2-20 Kaigan, Minato-ku, Tokyo 105-0022
Inquiries: https://majisemi.com/service/contact/
Keywords: