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Google is positioning its Agentic Data Cloud as infrastructure for AI agents, which it argues will soon be the main consumers of enterprise data. The notable technical claims are cross-cloud querying of AWS and Azure data over private links without egress fees, and the replacement of ETL pipelines with direct access to data where it sits. Readers should treat these as vendor claims and check them against real latency, governance, and total-cost results before assuming they hold at scale.

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Google fine-tunes its Agentic Data Cloud to support highly scalable autonomous AI workers

SiliconANGLENovember 4, 20266 min read

Artificial intelligence is no longer just about conversational assistants that tell people what to do. These days, it’s all about work automation, and Google Cloud is making sure it’s right at the forefront of that trend with its revamped Agentic Data Cloud platform, which received a host of new updates today. The Agentic Data Cloud […] The post Google fine-tunes its Agentic Data Cloud to support highly scalable autonomous AI workers appeared first on SiliconANGLE.

Artificial intelligence is no longer just about conversational assistants that tell people what to do. These days, it’s all about work automation, and Google Cloud is making sure it’s right at the forefront of that trend with its revamped Agentic Data Cloud platform, which received a host of new updates today. The Agentic Data Cloud was launched earlier this year at Google Cloud Next. It’s meant to be the architectural “system of action” for AI agents, replacing the brittle extract, transform and load-based data pipelines, or ETL, that feed legacy software applications. The key advantage of Agentic Data Cloud is that it meets customers where their data…

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