SiliconANGLE: Cloudera bets portability, not agents, will set it apart in enterprise AI
Enterprises racing toward AI automation are finding that where their models and data run matters as much as what the models can do. Regulatory pressure, rising token costs and fear of lock-in are pushing companies to demand more control over their AI workloads. That demand is shaping how data platform providers pitch their next act. […] The post Cloudera bets portability, not agents, will set it apart in enterprise AI appeared first on SiliconANGLE.
Enterprises are increasingly concerned about where their AI models and data run, driven by regulatory pressure, rising token costs, and fear of being locked into a single cloud provider. A data platform provider is positioning itself as an "anywhere cloud for AI" that allows companies to run workloads on-premises, on sovereign clouds, or across multiple cloud providers while maintaining portability. The shift toward open-weight models, which have grown from about 20% to more than 80% of token use, reflects this demand for keeping AI systems within companies' own control. While the company is adding AI agents designed to manage data and optimize resources, analysts note that agents themselves are no longer a competitive differentiator, and enterprises need clearer answers about how agents are controlled, audited, and documented for regulators before widely adopting AI automation.
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