Enterprise metadata is essential for data discovery, governance, integration, and analytics. Traditional metadata engineering relies on manual, rule-based approaches that struggle with dynamic, heterogeneous enterprise data across cloud, IoT, ERP, CRM, and data lake environments. This study proposes a Large Language Mo...
David Wheeler, Michael Gordon· International Journal of Dat...· 0 citations
An uncertainty-aware machine learning framework that integrates uncertainty quantification, probabilistic modeling, explainable AI, and adaptive learning to improve prediction reliability, transparency, and decision confidence is proposed.
David Wheeler, Michael Gordon· International Journal of Mac...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.