To ensure AI success, organizations must first make their data AI-ready. HPE outlines five key steps: (1) Establish smart data governance to ensure accuracy, trust, and regulatory compliance; (2) Simplify data access using a global namespace to unify scattered data; (3) Create an open, flexible platform that integrates structured and unstructured data across APIs; (4) Build scalable infrastructure through hybrid cloud to support growing AI workloads; and (5) Accelerate data pipelines with real-time streaming to keep AI models updated with fresh, relevant data. A strong data foundation is essential for effective, efficient AI outcomes.

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