{"id":5796,"date":"2025-06-23T16:08:39","date_gmt":"2025-06-23T08:08:39","guid":{"rendered":"http:\/\/global.780345.com\/mo\/blog\/2025\/06\/23\/ai-intelligent-knowledge-base-solution-help-enterprises-utilize-knowledge-efficiently\/"},"modified":"2025-08-07T21:58:39","modified_gmt":"2025-08-07T13:58:39","slug":"ai-intelligent-knowledge-base-solution-help-enterprises-utilize-knowledge-efficiently","status":"publish","type":"post","link":"http:\/\/global.780345.com\/mo\/pt-pt\/blog\/2025\/06\/23\/ai-intelligent-knowledge-base-solution-help-enterprises-utilize-knowledge-efficiently\/","title":{"rendered":"AI Intelligent Knowledge Base Solution: Help enterprises utilize knowledge efficiently"},"content":{"rendered":"

1. Background Insights | Industry Pain Points<\/span><\/b><\/p>\n

A certain biotechnology company was founded in 2002 by returning overseas students as a high-tech enterprise in the biotechnology domain. The integrated scheme built by the company across multiple domains provides one-stop upstream products and services for research and industrial customers in the life sciences domain.<\/p>\n

However, as a representative of new quality productivity, the company’s knowledge management still adopts traditional methods and has not integrated with AI intelligent learning. Many manufacturing companies also face the common challenges of chaotic knowledge management and difficult retrievals:<\/p>\n