Amazon Technologies, Inc.

Ankur Mehrotra

Mohammed Talal Yassar Azam

Jill Blue Lin

Devesh Ratho

Ketan Vijayvargiya

Lenon Alexander Minorics

Patrick Bloebaum

Mohammad Adnan

David Kernert

Fnu Syed Furqhan Ulla

Aditya Bahuguna

Sadanand Murthy Sachidananda

Ali Caner Turkmen

Laurent Callot

Ankita Verma

Mohammed Saad Ather

Peter Goetz

Syed Ahsan Ishtiaque

Shashank Srivastava

Dominik Janzing

Techniques for anomaly and causality detection are described. An example includes receiving time series data; performing anomaly detection on the received time series data to detect at least one anomaly using an anomaly detection model; detecting a causal relationship between measures, wherein a set of measures are related when a first of the set of measures has a causal influence on a second of the set of measures, wherein a single time series is a metric and a measure is a numerical or categorical quantity a metric describes; and outputting a result of the anomaly and causality relationship detections.

Anomaly and causality detection

A service to provide anomaly detection receives a request to back-test the service. The request includes information for accessing a dataset of historical data. The service executes workflows to ingest the data, train a plurality of machine learning models to perform anomaly detection, and detect anomalies in the dataset. A representation of the detect anomalies is generated and presented to a user. The service receives an indication to activate the service to provide ongoing anomaly detection services.

Anomaly back-testing

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Seattle, WA, United States of America

Ankur Mehrotra