Dr. James McCaffrey of Microsoft Research tackles the process of examining a set of source data to find data items that are different in some way from the majority of the source items. Data anomaly ...

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 ...

Overview: AI cybersecurity uses machine learning and automation to detect threats in real time.Leading firms in the USA are ...

In today’s digital world, fraud has become more complex, which means we need smarter ways to detect and prevent it. Generative AI helps with this by looking at large amounts of data in real-time, ...

Key market opportunities in the price anomaly detection AI sector include rising adoption of AI and ML technologies, ...

Dr. James McCaffrey presents a complete end-to-end demonstration of anomaly detection using k-means data clustering, implemented with JavaScript. Compared to other anomaly detection techniques, ...

Introduction: Why Data Quality Is Harder Than Ever Data quality has always been important, but in today’s world of ...