Multimodal AI systems process and reason across more than one data type simultaneously – images, text, audio, video, depth, and sensor signals. What makes them useful is exactly what makes them hard: the real world doesn't arrive in a single channel. A radiologist reads an image and clinical notes. A self-driving car sees and hears and senses spatial depth. A content moderator judges whether something is harmful based on image, caption, and surrounding context together.