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 ...

TNO’s advanced detection, threat management, and orchestration expertise ensures that critical IT and OT have sufficient ...

Organizations today rely heavily on data to inform their decision-making processes at every level. However, the increasing complexity of data ecosystems poses a challenge: The data we rely on may not ...

Get Code Download If you have a set of data items, the goal of anomaly detection is to find items that are different in some way from most of the items. Anomaly detection is sometimes called outlier ...

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

In industry, the detection of anomalies such as scratches, dents, and discolorations is crucial to ensure product quality and safety. However, conventional methods rely on heavy computational ...

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