Summary
In this chapter, we looked at a few things from a much higher level by covering data, infrastructure, monitoring, automation, change management, and ethics. We hope that our coverage of these topics made sense to you after reading this book.
It is important to understand that your data will control and influence everything, so making data a first-class citizen in your company is the first important step. Hiring a VP of Data and defining standards on data quality, lineage, and discoverability are just a few of the measures you can take.
Looking at automatization, we saw that Automated Machine Learning will run the world in a couple of years. The idea is quite simple: a trained meta-model will always be better at proposing, training, optimizing, and stacking models for higher predictive performance than humans. This makes total sense. It is just another parameter optimization step that also includes the model architecture. Another interesting thought is that Automated Machine...