To learn and perform well, AI models require a large amount of high-quality data. Models that predict need past information relevant to the task at hand. If the necessary data is not available, it can be created (also referred to as synthetic data) or obtained from other sources. Additionally, for the model to function properly, you have to make sure that your data is clear, well-structured, and free of biases.