Data-Centric AI: Is it Real? For Everyone? Are We Ready? - KDnuggets

Earlier this year, the growing AI community began pondering a lot about the possibilities of shifting from a model-centric approach to data-centric AI development. To keep pace with the momentum around data-centric approaches to AI projects, we have extracted insightful information from industry leaders and think tanks from across the globe. Over the last several decades, the dominant paradigm for AI development was a model or a software-centric approach. For building a machine learning system, you need to, both, write code to implement them to your algorithms and model, and take the code and train on data to extract meaningful insights. For the last several decades, most of us downloaded the data set, held the data set as fixed, and then modified the software code to understand the data.