The Shift from Model-Centric to Data-Centric AI

The evolution from model-centric to data-centric AI highlights a pivotal shift in the approach to artificial intelligence. Historically, advances in AI relied heavily on developing new models and algorithms while working with datasets sourced from the internet. However, the realization among practitioners is that focusing on data quality and quantity is often more effective for practical applications. The rise of data-centric AI reflects this change, emphasizing the need to prioritize data entry and curation to enhance the performance and applicability of AI systems.