AI learns human judgment, classifies and tags document content, and improves knowledge utilization.
The repetitive daily decision-making tasks. Are you giving up on the idea that decision-making tasks requiring advanced knowledge and experience cannot be automated by AI? With a large amount of written content and human judgment results, it is possible to build AI learning models and achieve efficiency in operations, including automation.
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Classification that maintains the hierarchical structure of categories We have a unique neural network that can learn the hierarchical structure simultaneously. Unlike conventional classification methods, we can classify content with a hierarchical structure. Based on the characteristics of your documents, we can propose the optimal hierarchical structure from an ontology perspective. AI Automatic Tagging Manually tagging a vast amount of files accumulated within the company is a very labor-intensive task. By utilizing AI for automatic tagging, we can significantly reduce the amount of work required. High-Precision Tagging by AI When humans tag individual files as before, differences in judgment criteria can arise, leading to incorrect tagging. AI tagging can provide stable tagging based on consistent judgment criteria.
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Improving the Efficiency of Internal Document Search Even when searching internal documents by keywords, a large number of documents are returned, making it difficult to reach the necessary documents. By using AI to tag internal documents and facilitate refined searches, it becomes possible to efficiently find the required documents. Systematizing the Expertise of Skilled Workers with AI The know-how accumulated by skilled workers tends to remain unused and dormant even when digitized. By having AI learn this know-how and integrating it into the internal system, users will be able to search with simple inputs, allowing anyone to utilize the expertise of skilled workers. Promoting Knowledge Sharing Within the Company AI learns to classify internal documents and automatically tags them, improving search accuracy and promoting knowledge sharing within the company. By leveraging tag information, it is also possible to realize push-based information sharing.
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Highly utilizing internal know-how through AI-based automatic tagging technology.
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Company information
Our company has been engaged in software development in the fields of devices, peripheral systems, and services using IT technologies such as big data analysis, IoT, AI, and image processing. We will inherit the achievements and know-how we have cultivated so far as a business, and while demonstrating synergistic effects through collaboration with "SCREEN ICT Software Co., Ltd.," a member of the SCREEN Group, we will provide more sophisticated and advanced solutions both within and outside the group.