Data-centric AI is gaining momentum among engineers. While traditionally, a model-centric approach has been used to improve accuracy for a variety of applications, the increase of data available today and the benefits of using reliable data are leading engineers to reevaluate their priorities and workflows. With a model’s performance so dependent on the quality of the data it is being trained with, this data focus has empowered engineers to improve model accuracy without the circular process of constantly tweaking parameters.
