Most data science projects never reach the stage where predictions are made. In fact, most get stuck before Data Scientists can even engineer features or train and build models to make predictions.
Companies investing in ML need to deliver models that improve over time with confidence, continuously! The only way that will happen is to spend less time slogging through data prep and more time building better ML features.
