The total cost of ownership for enterprise AI projects significantly exceeds initial acquisition costs, with post-deployment operations accounting for 84% of a 3-year budget. This is driven by continuous retraining needs due to model drift and the rapid obsolescence of AI infrastructure. Organizations need to implement autonomous financial controls to manage these unpredictable operational burdens and avoid budget overruns.
Read the full article at Towards AI - Medium
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