Doug Bonderud is an award-winning writer capable of bridging the gap between complex and conversational across technology, innovation and the human condition. By defining a set of normal user and ...

Anomaly detection is the process of identifying events or patterns that differ from expected behavior. Anomaly detection can range from simple outlier detection to complex machine learning algorithms ...

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. You can easily adapt ...

Scienaptic AI, a leading provider of AI-powered credit decisioning, announced today that Barksdale Federal Credit Union has selected its platform to enhance origination fraud and anomaly detection to ...

A new study has found that artificial intelligence (AI) is uncovering deeper financial irregularities within firms, but the ...

What is explainable AI (XAI)? What are some of the use cases for XAI? What are the technology requirements for implementing XAI? Anomaly detection is the process of identifying when something deviates ...

In early 2026, the financial industry stands at a critical inflection point where machine learning has transitioned from a promising experiment to a foundational operational pillar. With 71% of ...

Machine learning often feels difficult at the beginning, especially when everything stays theoretical. That changes once you start working on real projects and see how models are actually used.