Traditional analytics pipelines run on data loops: input, output, done. But cutting-edge AI relies on feedback loops—systems that constantly learn, improve, and refine themselves based on new data and real-world outcomes. Embedding feedback into your product architecture is how you turn a one-time insight engine into a continuously evolving intelligence layer.