AI learns from classification examples of the expert meeting on organizing past information! A case of reducing the man-hours required for document classification judgment.
We would like to introduce a case study of implementing regulatory classification AI (important document determination model) in the manufacturing industry. The company faced the challenge of wanting to streamline the extraction of information related to environmental regulations, which are updated daily, using natural language processing. To address this, they trained the AI on classification examples from past expert meetings, removing documents from the updates that could clearly be deemed unnecessary. They proposed a process where only the remaining documents would be assessed using traditional methods, leading to a reduction in the man-hours required for document classification. 【Case Overview】 ■ Industry: Manufacturing ■ Business: Environmental Regulations ■ Challenge: Natural Language Processing, Labor Reduction ■ Analytics & AI Solution - Trained the AI on classification examples from expert meetings, removing documents from the updates that could clearly be deemed unnecessary. *For more details, please refer to the PDF document or feel free to contact us.
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**Effects** - Reduction of man-hours required for document classification judgment - Improvement of document classification quality by eliminating dependency on individuals *For more details, please refer to the PDF materials or feel free to contact us.*
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For more details, please refer to the PDF document or feel free to contact us.
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We provide comprehensive support for our customers' DX promotion and data utilization. Our support includes analysis by data scientists and engineers from academic backgrounds, assistance with product utilization, and the establishment of data science organizations within our customers' companies, tailored to meet their needs. Please feel free to contact us if you have any requests.