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Amazon· Bedrock / NovaHow BMW Group detects cost anomalies across 14,000 cloud accounts
BMW Group's case study documents how its Cloud Efficiency Analytics (CLEA) system, built on AWS with Reply, detects cost anomalies across 14,000 cloud accounts using Prophet forecasting and daily anomaly detection that sends alerts to account owners when spending departs from expected patterns.
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CLEA now runs anomaly detection every day and sends email to account owners when spending departs from its expected pattern.
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