The Rise of AutoML: How AI Is Creating Better AI

` Building machine learning features is not usually slow because teams lack ideas. It gets slow because the testing loop is messy. You prepare data, try a model, tune it, compare results, fix something, and then do it again. Then another model looks promising. Then another metric changes the story. Then someone realizes the validation setup was not realistic. That cycle can slow down even strong teams. At Mediusware , we have seen strong offline results collapse in production for simple…