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HP and the art of AI and data for the enterprise

In an interview ahead of the AI & Big Data Expo, HP's Jerome Gabryszewski discusses data ingestion challenges, AI governance, hardware choices for the AI lifecycle, cost management, data sovereignty with RAG, and the evolving role of IT teams.

SourceArtificial Intelligence NewsAuthor: AI News
HP and the art of AI and data for the enterprise
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Under the source content permission, this page provides an editorial summary, key points, and a link to the original article.

Key points and analysis

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Key points

  • Organizations often underestimate the organizational and architectural debt behind their data before automation.
  • AI model updates should be gated like code deployments, with MLOps and human oversight.
  • HP offers a range of local compute hardware from mobile workstations to AI supercomputers for on-premises AI.
  • Local RAG architecture enables secure use of proprietary data without cloud exposure.

Highlights and analysis are generated automatically and may contain errors. Check the original source.

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