AI models are only as good as the data they learn from. Inconsistent, irrelevant, or outdated data leads to inaccurate outcomes. Clean, structured, and diverse datasets allow models to learn, adapt, and perform well in real-world scenarios. If your AI isn't performing, check the input before the algorithm.