Multimodal AI: Transformative enterprise insights [Video]

People have learned about the world through multiple inputs, so it makes sense that as communication between humans and machines continues to advance, it will also be multimodal.

In the rapidly changing field of multimodal AI, systems can process multiple data inputs to provide insight or make predictions by training with and using video, audio, speech, images and text. These inputs offer a way to gain the benefits of generative artificial intelligence without the complexity associated with building large language models.

“In looking at the use of this particular technology set, we may be able to solve problems that enterprises have without engaging larger generative AI systems or building LLMs, which are going to be very significant and complex to build and also very expensive to train,” said David Linthicum, principal analyst for theCUBE Research. “In some cases, multimodal AI will be just fine for the purposes that you need to …