Anomaly Detection with Deep Learning: Finding the Needle in the Haystack in the Enterprise

Explore a 38-minute conference talk from Big Data Analytics Tokyo 2017 featuring Adam Gibson of SkyMind. Delve into the application of deep learning for anomaly detection in enterprise settings. Discover why deep learning is well-suited for identifying unusual patterns in data and learn about two distinct approaches to anomaly detection using this technology. Gain insights into practical applications such as preventative maintenance in factories, network intrusion detection, and fraud prevention. Conclude with an in-depth examination of a real-world production case study, demonstrating how to construct a comprehensive AI stack tailored for anomaly detection use cases.

Adam Gibson, SkyMind, at Big Data Analytics Tokyo 2017