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On October 28, 2026, SiliconANGLE enterprise editor Paul Gillin offered the assessment that AI automation depends on portability. Related reporting shows that at EVOLVE26, Cloudera positioned itself as an "anywhere cloud" for AI, emphasizing that enterprises should be able to freely migrate AI workloads across on-premises environments, sovereign clouds, and different clouds. In the same report, Gillin said that open-weight models' share of token usage has risen from about 20% two years ago to more than 80% today. The report also mentioned that Cloudera added agentic workflows for scenarios such as data management and GPU capacity optimization to its data services, but CIOs still need to understand how agents are controlled and what audit trails they leave before trusting AI automation. Currently, there are no subsequent factual developments regarding this assessment.
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Cloudera analyst: AI automation depends on portabilityDevelopments
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Oct 28
SiliconANGLE
Cloudera analyst: AI automation depends on portability
At EVOLVE26, Cloudera positioned itself as an "anywhere cloud" for AI, emphasizing that enterprises should be able to freely move AI workloads between on-premises, sovereign clouds, and different clouds. SiliconANGLE enterprise editor Paul Gillin said that open-weight models' share of token usage has risen from about 20% two years ago to more than 80% today. Cloudera has also added agentic workflows to its data services for scenarios such as data management and GPU capacity optimization, but CIOs still need to understand how agents are controlled and what audit trails they leave before trusting AI automation.