Multimodal AI breaks down the barriers between different data types. Instead of separate models for text, images, and audio, multimodal systems understand the relationships between them — enabling use cases like visual question answering, video captioning, and cross-modal search.
At Informatica Systems, we leverage multimodal AI in our sign language video generation project for Deaf Reach, combining pose estimation, natural language understanding, and video synthesis into a single pipeline.
The future of AI interaction is multimodal: customers will show, speak, and type — and AI will understand them all at once.