Proactively detecting unusual or unexpected variances in your business metrics and reducing false alarms can help you stay on top of sudden changes and improve your business performance. Accurately identifying the root cause of deviation from normal business metrics and taking immediate steps to remediate an anomaly can not only boost user engagement but also improve customer experience.
As the volume of data monitored by your business grows, detecting anomalies gets challenging. On March 25, 2021, AWS announced the general availability of Amazon Lookout for Metrics, a service that uses machine learning (ML) to automatically detect anomalies that are most important to …
Related posts:
Optimize your inference jobs using dynamic batch inference with TorchServe on Amazon SageMaker
Graph-based recommendation system with Neptune ML: An illustration on social network link prediction...
Secure access to Amazon SageMaker Studio with AWS SSO and a SAML application
WebGPT: Improving the factual accuracy of language models through web browsing
