In AI, utilization should be read carefully. More usage is not always better if the cost-to-serve is weak or if the underlying workflow is not producing measurable value.
Glossary entry
Utilization
The degree to which a technology asset, platform, model capacity, or workflow is actually being used relative to what it could support.
Why it matters
Utilization matters because low usage can make AI platforms look expensive even when the architecture is sound, while high usage without governance can magnify cost and control problems.
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