Data Centric Artificial Intelligence

The data-centric artificial intelligence is the modern approach to building AI systems using quality data. The data-centric AI prioritizes the quality of data over the quantity of data, while traditional model-centric AI does the opposite. The key is better data, not big data! The key idea of data-centric AI is to handle data the same way as handling high-quality materials when building a house i.e. spend relatively more time labelling, augmenting, managing and curating the data. The traditional way is to optimize the highly parameterized models using big data and achieve high performance.