Machine Learning Systems versus Machine Learning Models

A functioning AI product contains more than just a Machine Learning model. You need to add a lot of ingredients to your ML soup to make it bring value to customers. We call all of these ingredients together a Machine Learning System. But we tend to pay too much attention to our ML models while neglecting other parts of the bigger picture. I call this phenomenon a model-centric bias.