The Rise of Data-Centric AI - DATAVERSITY

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. By improving data quality and model accuracy, data-centric AI allows for new areas of application and opens new opportunities in the field of engineering – from 5G communications to LiDAR, medical device imaging, state of charge estimations, and many more. Get our weekly newsletter in your inbox with the latest Data Management articles, webinars, events, online courses, and more.