The Future of MLOps

The MLOps space is growing so quickly these days. What comes next for data scientists is more about understanding how their models are performing in production and when do they need to maybe retrain the model. It's almost funny because it's almost like the same analytics to machine learning flow that we talked about. We're just in terms of like pyramid of needs. First, before you start experimenting with different models, you probably need to deploy your model. And then once you have that down to a science, you start to automate what your data scientists are doing today.