Why growing AI adoption requires an AI observability strategy
Dynatrace
JANUARY 17, 2024
AI requires more compute and storage. Training AI data is resource-intensive and costly, again, because of increased computational and storage requirements. As a result, AI observability supports cloud FinOps efforts by identifying how AI adoption spikes costs because of increased usage of storage and compute resources.
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