AWS Machine Learning Blog
Category: Amazon DynamoDB
Turning unstructured text into insights with Bewgle powered by AWS
Bewgle is an SAP.iO, Techstars-funded company that uses AWS services to surface insights from user-generated text and audio streams. Bewgle generates insights to help product managers to increase customer satisfaction and engagement with their various products—beauty, electronics, or anything in between. By listening to the voices of their customers with the help of Bewgle powered […]
Anomaly detection on Amazon DynamoDB Streams using the Amazon SageMaker Random Cut Forest algorithm
Have you considered introducing anomaly detection technology to your business? Anomaly detection is a technique used to identify rare items, events, or observations which raise suspicion by differing significantly from the majority of the data you are analyzing. The applications of anomaly detection are wide-ranging including the detection of abnormal purchases or cyber intrusions in […]