We’ve heard repeatedly that reliable, validated training data is one of the most important, and also most challenging components of ensuring AI models provide accurate outputs. How are we overcoming this challenge? Through Data-centric AI! Data-centric AI emphasizes the value of good data rather than model. So what are some data-centric AI approaches? We speak to Dr. Manil Maskey, Data Science and Innovation Lead, NASA Office of Chief Science Data Officer and Dr. Rajat Shinde, Computer Scientist Level IV, NASA IMPACT, University of Alabama in Huntsville to find out!