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Why Data, Not Models, Determines AI Success
Strong models alone are not enough, and this article shows why data readiness, accessibility, and governance often determine whether AI succeeds in production.
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Because placement decisions affect cost, performance, and control, this piece examines how data gravity and latency shape where AI workloads should run.
Dell's Vrashank Jain on the Data Problem That Could Break Your AI
In this eSpeaks conversation, Vrashank Jain explains why fragmented environments, pipeline complexity, and data bottlenecks continue to slow enterprise AI progress.
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NS2 Serves helps veterans transition to civilian IT careers
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NS2 Serves helps veterans transition to civilian IT careers
Length: 14:44 | Nov 30, 2020
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