Datadog's Deeja Cruz says strong tagging, model selection governance and cross-team collaboration are the foundations of effective AI cost management.

AI cost management is emerging as a critical discipline for connecting technology investments to measurable business outcomes.

AI FinOps is forcing enterprises to rebuild forecasting models and adopt real-time governance as AI cost exposure outpaces traditional cloud management.

As AI adoption accelerates, organizations are turning to FinOps practices to improve AI-driven cost management and balance innovation with accountability.

FinOps AI governance requires new models, cross-functional collaboration and outcome-based metrics to move beyond cost management into business value.

Datadog's Deeja Cruz says strong tagging, model selection governance and cross-team collaboration are the foundations of effective AI cost management.