Sarcouncil Journal of Multidisciplinary (SJMD) 2025, pp. 48-54 | SARC Publisher | ISSN: 2945-3445
Examines the paradigm shift from model-centric to data-centric approaches in artificial intelligence. Data quality and governance determine AI system success more than model architecture. Explores architectural components including feature stores and metadata management, alongside responsible AI implementation through fairness and bias mitigation at the data layer.
Keywords: Data-Centric AI, Feature Store Architecture, Lineage Tracking, Drift Detection, Responsible AI Implementation