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Data At The Edge
The convergence of cheaper sensors and robotics is unlocking previously inaccessible physical world data to train specialized AI models.
What: Rebecca Kaden of USV highlights how multimodal AI and ubiquitous sensors are creating new data flywheels in industrial, infrastructure, and healthcare sectors.
Why it matters: The next wave of high-value AI companies may be defined by their proprietary access to physical world data rather than just scale of training compute.
Original article
AI is unlocking valuable datasets from the physical world by combining cheaper sensors, robotics, and multimodal models. New data flywheels around infrastructure, healthcare, and industrial automation could create the next generation of enduring AI businesses.
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