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The article frames enterprise AI around a practical trade-off: keeping proprietary data in place versus sending it to external models. Cloudera's partnership with Mistral AI shows vendors competing on deployment flexibility and data sovereignty, not just model quality. For AI readers, the open question is whether on-premises or sovereign-cloud deployments can match the cost and performance of hosted services, and how regulations such as DORA and the CLOUD Act will shape that choice.

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What this isA model's reading of the article and related coverage, written for aiqbench. Not the publisher's words.

Enterprises bring AI to their data as privacy rules tighten and costs climb

SiliconANGLENovember 2, 20263 min read

Every enterprise AI strategy eventually comes down to the same question: Should proprietary data travel to the model, or should the model come to the data? As privacy rules tighten and geopolitical risk rises, more organizations are choosing the second option. That is changing how data platform providers present themselves, and Cloudera Inc. has built […] The post Enterprises bring AI to their data as privacy rules tighten and costs climb appeared first on SiliconANGLE.

Every enterprise AI strategy eventually comes down to the same question: Should proprietary data travel to the model, or should the model come to the data? As privacy rules tighten and geopolitical risk rises, more organizations are choosing the second option. That is changing how data platform providers present themselves, and Cloudera Inc. has built its AI strategy around deployment flexibility. The…

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