Post by Surveil

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AI doesn't scale in a single, easily manageable direction. It scales across product, engineering, operations, and security simultaneously. And when ownership of all this varied and disparate AI consumption is not defined by business unit, application, model usage, and deployment type, then accountability becomes unhinged. Such a problem isn't so much a forecasting problem as it is a governance architecture problem. A mature FinOps for AI approach sets accountability at the workload level. Every team sees their AI cost behaviors transparently, cost ownership becomes well defined, and accountability exists. That's sound cost governance. šŸ‘‰ https://hubs.li/Q04f6HrC0 #AI #FinOpsforAI #CloudGovernance #Surveil

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