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 ...

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 ...

Data observability vendor Acceldata Inc. today announced Adaptive AI Anomaly Detection capabilities in its xLake Reasoning Engine that automatically identify hidden, multidimensional data anomalies ...

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 powerful in spotting cyber incidents, but experts say CISOs should balance traditional signature-based detection with more bespoke methods that can identify malicious activity ...

Anodot's approach to business intelligence (BI) is to use automated anomaly detection systems to discover the important signals in vast amounts of data noise, and to find the anomalies and correlate ...

If you are a modern database professional, you have likely heard about or looked into anomalies and how to detect them. At a very simple level, anomaly detection looks at historical values and ...