Multimodal AI: The Next Frontier in Artificial Intelligence [Video]

AI has evolved beyond traditional single-data-source models to incorporate multiple data sources across various modalities. As noted by Anindya Sengupta, Client Partner, AI Client Services, and Abhijit Guha, Principal Data Scientist, AI Client Services at Fractal, the development of multimodal AI—systems that can process and integrate data from multiple modalities like text, images, audio, and video—has brought AI closer to mimicking human capabilities.

For many years, AI was primarily limited to processing structured data. Guha noted that about five years ago, AI primarily relied on structured sources, or often required extensive “data munging” for unstructured sources before it could be fed into models. However, AI has evolved, and so has its ability to process and interpret more complex forms of unstructured data, such as human language, images, and video.

Multimodal AI, as Anindya explained, “works with text, image, and video”. The concept involves taking various types of inputs from different faculties …