As companies increasingly rely on machine learning models, it’s imperative that they continuously check the models to make sure they are working as intended and that the data is valid, unbiased and not corrupted in any way. She says it’s hard to know what’s going on inside these models without tools like Deepchecks, which help data scientists make sure the data they are using are not biased, misinformed or based on corrupt input data – and generally performing well over time. \u201cIt is a big challenge and we do put the effort in order to encourage diversity now, and also going forward as we grow,\u201d she said