Data Anomaly Detection Using LightGBM. Dr. James McCaffrey from Microsoft Research presents a complete program that uses the Python language LightGBM system to create a custom autoencoder for data ...

Anomaly detection can be used to determine when something is noticeably different from the regular pattern. BYU professor Christophe Giraud-Carrier, director of the BYU Data Mining Lab, gave the ...

Observability platform company Coralogix Ltd. today announced a new strategic collaboration agreement with Amazon Web ...

That’s when you can start using the Anomaly Detection APIs for real business value. Related content. opinion Cloud finally gets some new competition. By Matt Asay. Jun 30, 2025 15 mins.

Although predicated on advanced math concepts, anomaly detection, or as the NIST Cybersecurity Framework 2.0 calls it, “adverse event analysis,” has over the past two decades been incorporated ...

Anomaly detection presents a unique challenge for a variety of reasons. First and foremost, the financial services industry has seen an increase in the volume and complexity of data in recent years.