Multimodal AI integrates various data types like video, audio, speech, images, text, and numerical data to provide accurate analyses and predictions. It differs from single-modal AI by processing multiple data types simultaneously for a comprehensive understanding of context and content. It enables iterative learning and is applied in diverse fields like robotics, farming, and language processing.