Real-time machine learning: challenges and solutions

However, a model can have hundreds, if not thousands of features. Most feature statistics changes are benign. The problem is not how to detect these changes, but how to know which change actually requires your attention. Real-time machine learning is largely an infrastructure problem. Solving it will require the data science/ML team and the platform team to work together. Both online inference and continual learning require a mature streaming infrastructure.