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As AI transforms enterprise operations across diverse industries, critical challenges continue to surface around data storage—no matter how advanced the model, its performance hinges on the ability to access vast amounts of data quickly, securely, and reliably. Without the right data storage infrastructure, even the most powerful AI systems can be brought to a crawl by slow, fragmented, or inefficient data pipelines.
This topic took center stage on Day One of VB Transform, in a session focused on medical imaging AI innovations spearheaded by PEAK:AIO and Solidigm. Together, alongside the Medical Open Network for AI (MONAI) project—an open-source framework for developing and deploying medical imaging AI—they are redefining how data infrastructure supports real-time inference and training in hospitals, from enhancing diagnostics to powering advanced research and operational use cases.
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