Visual AI is a subset of AI that processes visual data to provide humans, physical systems, or software with insights for informed decision-making and action. It utilizes machine learning models and high-quality data to effectively reason and act, extracting meaning from visual inputs, understanding content, and taking appropriate action. Visual AI is important because it brings new capabilities and augments human vision in remarkable ways, including efficiency, scalability, enhanced capabilities, safety, automation, decision support, and transforming life as we know it. It works by combining models with high-quality data to reason and act, and its applications include autonomous robots, assistive apps, medical systems, apps that generate new images or videos, and more.