Uploaded August 2026 | Updated September 2026, 2 hours ago
Autonomous AI agents do not ask for data politely. They plan, they query, they call APIs over and over, and on public cloud data platforms the compute behind that can run up to twenty times more expensive than standard cloud infrastructure. Multiply it by thousands of agentic workflows a day and the runaway bill arrives before the results do.
Read everything about it here: blogs.vmware.com/tanzu/introducing-ai-ready-data-foundations-in-tanzu-platform
Coté walks through where the money and the risk actually go: unplanned egress and duplicate storage, a do-it-yourself patchwork of ingestion, preparation, governance and access tools, and documents flattened into tables that strip out the hierarchy an agent needs to understand what it is reading. Then he shows what Tanzu Platform AI-ready data foundations does instead - one platform that ingests structured, semi-structured and unstructured data where it already lives, adds a real semantic layer, and publishes curated data products to a trusted marketplace that any agent can query through an embedded MCP server.
There's even more details to check out here: blogs.vmware.com/tanzu/introducing-ai-ready-data-foundations-in-tanzu-platform
Autonomous AI agents do not ask for data politely. They plan, they query, they call APIs over and over, and on public cloud data platforms the compute behind that can run up to twenty times more expensive than standard cloud infrastructure. Multiply it by thousands of agentic workflows a day and the runaway bill arrives before the results do.
Read everything about it here: blogs.vmware.com/tanzu/introducing-ai-ready-data-foundations-in-tanzu-platform
Coté walks through where the money and the risk actually go: unplanned egress and duplicate storage, a do-it-yourself patchwork of ingestion, preparation, governance and access tools, and documents flattened into tables that strip out the hierarchy an agent needs to understand what it is reading. Then he shows what Tanzu Platform AI-ready data foundations does instead - one platform that ingests structured, semi-structured and unstructured data where it already lives, adds a real semantic layer, and publishes curated data products to a trusted marketplace that any agent can query through an embedded MCP server.
There's even more details to check out here: blogs.vmware.com/tanzu/introducing-ai-ready-data-foundations-in-tanzu-platform
