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Found 3 results

  1. Amazon SageMaker Canvas accelerates onboarding with new interactive product tours and sample datasets for different use cases. Amazon SageMaker Canvas is a visual point-and-click interface that enables business analysts to generate accurate machine learning (ML) models for insights and predictions on their own — without requiring any machine learning experience or having to write a single line of code. View the full article
  2. Amazon Elasticsearch Service now offers anomaly detection for high cardinality datasets. This new feature enables you to sift through thousands of metrics from millions of events to accurately pinpoint individual entities with abnormal patterns. By leveraging machine learning, Amazon Elasticsearch Service now provides reliable and actionable insights to drastically reduce the time to isolate and remediate issues. High cardinality anomaly detection can be invaluable for a number of operational, security and business use cases like identifying hosts with high CPU and memory consumption, finding services with most error rates, isolating suspicious users or IP addresses accessing sensitive information, or detecting outliers in sales by region. View the full article
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