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Cloudera bets on 'anywhere cloud for AI' at EVOLVE26

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Cloudera bets on 'anywhere cloud for AI' at EVOLVE26

3 Key Points

  1. What happened

    Paul Gillin said at EVOLVE26 that Cloudera is positioning itself as an "anywhere cloud for AI," extending cloud portability to AI models and stressing on-premises and sovereign clouds.

  2. Why it matters

    Simply having an agent is no longer an edge, so the company is doubling down on its long-standing multiplatform play, according to Gillin.

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Context & Analysis

Cloudera started out in the Hadoop market and later moved to a unified data layer spanning clouds and on-premises infrastructure. At EVOLVE26, the company's pitch has shifted again, toward what Paul Gillin called an "anywhere cloud for AI." That framing builds on a preference Gillin says big companies settled on long ago: not wanting to be beholden to a single cloud provider.

Gillin, enterprise editor of SiliconANGLE Media, spoke with theCUBE's Rebecca Knight during an exclusive broadcast at the event. He drew a distinction between general-purpose agents, which he described as more of a consumer phenomenon and an office worker tool, and Cloudera's agents, which he said are tuned to managing data and workloads and optimizing GPU capacity. In his view, simply having an agent is no longer an edge, which is why the company is doubling down on its multiplatform play.

The keynote also touched on sovereign and private AI. Gillin cited surveys pointing to regulation as the main reason enterprises want to keep AI inside their own walls, and said open-weight models give them a way to do it, having grown from about 20% of token use two years ago to more than 80% today. Before trusting that pitch, he added, CIOs will want to know how agents are controlled, what audit trails they leave behind, and how agent decisions can be documented for regulators — an area he described as still a "wild west."

FAQ
What is Cloudera's pitch for enterprise AI?
It is positioning itself as an "anywhere cloud for AI," extending the portability enterprises wanted from their clouds to their AI models, according to Paul Gillin.
How are Cloudera's agents different from general-purpose agents?
Gillin said general-purpose agents are more of a consumer phenomenon and an office worker tool, while Cloudera's agents are tuned to managing data and workloads and optimizing GPU capacity.
What concerns remain for CIOs before trusting AI automation?
Gillin noted that CIOs will want to know how agents are controlled, what audit trails they leave behind, and how agent decisions can be documented for regulators.
SiliconANGLE AIRead Original Article
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