Webinar Held: 'Transforming Confidential Paper-Based Information, such as R&D Materials and Incident Histories, into Usable Knowledge'

Details and registration here

Information within companies, named 'assets' but dormant Within companies, there is 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, proof of technical capabilities, and originally important intellectual assets for generating the next innovation.

However, due to high confidentiality, strict operational rules, and delays in digitization, the reality is that important information 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, and even summarization and analysis by generative AI have become realistic options. It is now fully possible to convert information confined to paper into a usable form.

However, simply scanning and digitizing each paper document does not resolve issues such as character recognition accuracy, layout distortion, and 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 paper-based information into usable knowledge This seminar will explain specific methods for safely utilizing important documents that cannot be taken outside the company.

We will introduce how to utilize confidential information without external exposure, through high-precision digitization by AI-OCR, fast and accurate information extraction using proprietary search technology, and a generative AI × RAG configuration available in a closed, in-house environment, independent of the cloud.

We will clearly explain the architecture and implementation steps to transform paper documents beyond mere digitization into 'usable knowledge.'

Recommended for those who: ・Are struggling with where to start utilizing paper-based information assets ・Are facing challenges in searching and utilizing paper documents and past materials ・Want to utilize generative AI without exposing confidential information externally ・Are considering knowledge management for technical information and incident histories ・Are in a position to promote advanced information utilization and operational efficiency

Organizers/Co-organizers Nakasha Creative Co., Ltd. ■ Cooperation Open Source Utilization Research Institute Co., Ltd. Majisemi Co., Ltd.

Details and registration here

Majisemi will continue to hold webinars that are 'useful to participants.' Past seminar materials and other currently 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: