To bring intelligence to your data as part of building an effective AI data strategy, it’s crucial to address the fact that over 80% of enterprise data is unstructured or semi-structured, such as emails, documents, webpages, and media files. Before AI models can effectively use this data, each data object must be understood, labeled, and enriched with metadata—a traditionally time-consuming process. High-performance storage solutions like HPE Alletra Storage MP X10000 streamline this by automatically analyzing data content during ingestion and attaching metadata. This metadata is then converted into vector embeddings—numeric representations that enable AI models to better interpret and relate data objects, accelerating AI readiness and improving model accuracy.

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