AI applications often require datasets that integrate diverse data types, such as text, images, audio, or video. Data ETL services enable industries to handle and combine these complex structures into unified datasets for multi-modal AI systems. For instance, in manufacturing, ETL processes can combine IoT sensor data and production logs to train predictive maintenance AI. In education, diverse datasets can support personalized learning platforms, ensuring flexibility and adaptability in AI applications.