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

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 ...

When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. The growth in data is, has and continues to be a topic that influences how much and what types of ...

CAMPBELL, Calif., April 29, 2025 (GLOBE NEWSWIRE) -- Acceldata, a leading provider of data observability and agentic data management solutions, today announced Adaptive AI Anomaly Detection, a ...

Data anomaly detection is 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. There are many different types of ...

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 ...

If you run a quick web search on "machine learning use cases," you will find pages and pages of links to documents describing machine learning (ML) algorithms to detect or predict some kind of event ...

A recent study is shedding light on the factors that contributed to the significant wildfires in Manitoba in May 2025. The research explores how unusual weather patterns and stressed vegetation ...

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 ...