1 Answers
A:
To centralize AI usage logs from multiple suites for audits and cost control, you need a robust logging and observability platform that can ingest, normalize, and analyze data from various sources. This approach involves four key steps: establishing data pipelines, choosing a centralized logging solution, normalizing the data, and using the consolidated data for analysis and reporting.
Your chosen platform needs mechanisms to pull logs from every suite your organization uses, whether it's an internal application or a third-party service.
Select a platform that can aggregate and store AI logs at scale.
Logs from different sources often have different formats, which makes centralized analysis challenging.
With your logs centralized and normalized, you can use built-in features for audits and cost control.
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