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The Art and Science of Anomaly Detection

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BRG’s Deep Anomaly Detection Framework

July 2020
Xuning (Mike) Tang and Yihua Astle
BRG

BRG’s deep anomaly detection framework collaboratively interacts humans and artificial intelligence (AI) to actively enhance complementary strengths. BRG’s approach has advantages over existing anomaly detection solutions and has proven successful over various applications, such as fraud detection and compliance monitoring.

In this white paper, we first give an overview of anomaly detection and its applications. We then introduce how BRG professionals combine extensive domain expertise with Deep Active Learning technology to tackle the most challenging anomaly detection problems. We finish by discussing key considerations in deploying, using, and calibrating anomaly detection solutions.

Read the full paper.

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