Leveraging AI for Enhanced Dataset Usability: Intelligent Summarization and Labeling for Academic-Industry Collaboration

In the era of digital transformation, artificial intelligence (AI) and cloud-based technologies arerevolutionizing university-industry collaboration by enhancing data accessibility, organization, andusability. Traditional data management approaches often suffer from inefficiencies, leading to fragmented,underutilized datasets. This research proposes an AI-powered framework that integrates intelligent labeling,automated dataset summarization, and vector-based retrieval to optimize dataset management. The systemefficiently categorizes and summarizes datasets by leveraging natural language processing (NLP) andembedding models, improving research workflows and knowledge transfer.