Scientific Data Management Beyond Traditional Computing Boundaries

Abstract

Scientific data management is undergoing a fundamental transformation driven by the convergence of artificial intelligence (AI)/machine learning workflows, distributed computing and storage environments, and exponential data growth. We analyze how these developments address current limitations while enabling new capabilities for cross-facility collaboration and AI-driven research.