A six-point framework on how to maintain your AI/ML models

As the pandemic has made big changes across our world, we can't always rely on historical data that we used to train and build our first model versions. We all know -- or we should realize by now -- that these first versions will break somehow. It is just a matter of time. In our first article from last December, we discussed why you need model monitoring on your AI/ML models. Let's broaden that discussion, and our vision, by considering a holistic framework to maintain our models.