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WorkThe story, in brief

Three insights you may have missed from theCUBE’s coverage of Snowflake Summit 2026

Enterprise AI just shifted. Compute was phase one. Data infrastructure is phase two.

Reporting by SiliconAngle 1 min brief
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The KeyNews take

Why it matters

The article synthesizes a strategic thesis about the evolution of enterprise AI adoption—moving from infrastructure and model commoditization to the software and data layers that operationalize models at scale. This represents a meaningful shift in where competitive advantage and business value accrue in the AI economy.

The key facts

4 to know

  1. First wave of enterprise AI focused on compute and foundation models (GPUs, servers, cloud capacity)

  2. Second wave shaping up around software and data infrastructure for model operationalization

  3. Snowflake Summit 2026 coverage signals industry consensus on this inflection

  4. Infrastructure winners (compute/chips) vs. software/data winners distinction

Go to the source

SiliconAnglesiliconangle.com

Publisher excerpt: If the first wave of enterprise artificial intelligence was about compute and foundation models, the next is shaping up to be about the software and data infrastructure needed to make those models useful in real businesses. The first AI winners sold compute: graphics processing units, servers,…
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