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Explore the critical relationship between storage technology and AI workloads in this 31-minute keynote presentation from SNIA SDC 2025 Denver. Learn how the AI pipeline's complex phases and operations create different storage requirements that directly impact technology choices and deployment success. Understand the foundational concepts of how storage demands vary across typical AI phases, from data ingestion and preprocessing to model training and inference. Discover why storage is often overlooked in AI implementations despite being critical for efficient AI operations. Gain insights into storage technology selection criteria that can make or break your AI strategy deployment. Master the fundamental storage considerations that developers and implementers need to understand before diving into more specialized AI pipeline workloads. Build the foundational knowledge necessary to tackle more detailed SNIA presentations on specific AI phases and storage optimization techniques.
