Original sourceSiliconANGLE
Summary
Google Cloud updated Agentic Data Cloud to support scalable autonomous AI workers. Highlights include an unbounded lakehouse built on Apache Iceberg, waived cross-cloud egress fees, and secure private access to Google Workspace, Jira, SharePoint, and GitHub data. Google says this makes agents more…
Key points
- Enterprises can reduce friction in agents' access to data and estimate deployment costs using waived egress and token savings.
- The degree of integration between the data layer and agent layer is becoming a key bottleneck for scaling AI agent deployment.
- Data platform teams need to reassess cross-cloud migration costs and design permission and query isolation architectures for agents.
Editorial note
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