Datadog’s FinOps analyst says AI cost management starts with tagging and model governance
AI cost management is becoming a C-suite problem. Here's what Datadog's FinOps team says every CTO needs to know.
Why it matters
As enterprises scale AI deployments, cost governance and resource tagging are emerging as critical operational disciplines. This expert commentary frames AI FinOps as an extension of cloud cost management—with new complexity around model selection and compute allocation.
The key facts
8 to knowDatadog senior FinOps analyst Deeja Cruz quoted on AI cost taxonomy
Core discipline: understanding usage, rationale, and cost attribution
Model governance and tagging identified as foundational practices
AI cost management extends cloud FinOps practices to new domain
Datadog senior FinOps analyst Deeja Cruz identifies tagging and model governance as foundational
AI cost management requires new taxonomy within existing FinOps frameworks
Core discipline remains: understanding usage, rationale, and cost attribution
Cloud FinOps lessons are transferable to AI cost control
Go to the source
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Publisher excerpt: AI cost management is bringing a new taxonomy to FinOps practitioners, but the core discipline, understanding what you’re using, why, and what it costs, remains the same. That constancy is reassuring and instructive, according to Deeja Cruz (pictured), senior FinOps analyst at Datadog Inc. The…