Multimodal AI integrates diverse data types—text, images, video—to mirror human perception and drive deeper insights. It enables breakthroughs in fields like healthcare, combining lab reports and scans for better diagnoses, and in defense, analyzing social media and surveillance data to detect threats. However, it requires managing massive, complex datasets, addressing bias risks, and building advanced infrastructure. Organizations must align AI initiatives with risk tolerance and ROI goals, leveraging trusted partners for strategy, governance, and deployment. Embracing multimodal AI now positions businesses for transformative innovation and competitive advantage.

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