What is Data-Centric AI?

The New Paradigm: Data as the Primary Lever for AI Success

Beyond Model Tweaking: Focusing on Data Quality and Quantity

Building More Resilient and Accurate AI Systems

**Data-Centric AI** is an emerging approach to AI development that emphasizes **improving the quality, consistency, and quantity of data over continuously refining model architectures** to enhance performance. While traditional **Model-Centric AI** focuses on optimizing algorithms given a fixed dataset, data-centric AI posits that even minor improvements in data quality can lead to significant gains in model accuracy and robustness. This paradigm treats data as a strategic asset, requiring careful curation, labeling, and management throughout its lifecycle. It's gaining immense traction in 2025 as developers realize that better data often yields better AI results than endless model tweaking. 🧹✨