This solution brief describes how the HPE Machine Learning Platform supports AI-driven innovation in healthcare and life sciences while addressing data complexity and regulatory demands. It highlights challenges such as unstructured clinical data, heterogeneous sources, petabyte-scale datasets, reproducibility requirements, high training costs, and low-latency application needs. The platform provides a unified, end-to-end AI software stack for data preparation, distributed model training, and scalable inference across edge, data center, and cloud environments. Built on an open ecosystem with Kubernetes portability, it enables secure, reproducible, and auditable AI workflows. Key use cases include medical imaging analysis, clinical decision support, drug discovery, genomics, and operational

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