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Learn how NetApp is transforming data infrastructure to support artificial intelligence applications in this 17-minute conference presentation from Tech Field Day Experience at NetApp INSIGHT 2025. Discover NetApp's comprehensive strategy for building intelligent storage systems that unify data across block, file, and object formats while enabling fast and secure access to AI-ready data. Explore how NetApp integrates AI capabilities directly into the storage layer, including metadata enrichment, tokenization, and data governance features that empower storage administrators and extend data usability for AI workflows without compromising control or security. Understand the shift in the AI data landscape from hype to practical application, with focus on managing growing unstructured data sources such as machine-generated and generative AI outputs. Examine NetApp's ONTAP platform vision for making all data AI-ready by embedding intelligence like security policies, tokenization, and embedding mechanisms directly into the data layer, eliminating complex ETL processes while ensuring data accessibility and governance. Learn about NetApp's AI Data Engine (AIDE) and AFX solutions designed to streamline intelligent data access while reducing data copy proliferation through in-place metadata and vectorization management. Discover how NetApp aims to transform storage administrators from infrastructure caretakers into enablers of data-centric applications and AI workflows through APIs and policy-driven data access mechanisms that integrate with tools like Kafka and database systems. Explore NetApp's security approach through granular zero-trust policies and metadata governance to prevent overhead and sprawl, plus support for emerging standards like Apache Iceberg for semantic access and systems that enable unstructured data consumption like structured data with semantic reads without altering write formats.
