The growth in data is, has and continues to be a topic that influences how much and what types of storage architectures, etc., are selected and for what applications. Besides determining the storage ...

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

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 ...

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 ...

Explore how AI-driven anomaly detection enhances the security of Model Context Protocol (MCP) deployments, protecting AI infrastructure from evolving threats with real-time insights.

In this special guest feature, Marius Moscovici, founder and CEO of Metric Insights, explores data anomalies and what they mean for business intelligence. He also provides business leaders with four ...

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 ...