Multimodal generative AI (GenAI) processes and creates content across text, images, audio, and video, offering a richer, more integrated output than single-modal AI. Examples of use cases drives value in marketing, product design, customer service, and healthcare through personalised, scalable content. However, it presents challenges in data complexity, computational demands, ethical risks, and real-world deployment, requiring strategic investments and careful oversight for successful implementation.
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