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

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 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 ...

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 ...

Opinions expressed by Entrepreneur contributors are their own. Thomas Kuhn once wrote that scientific revolutions happen when enough anomalies appear. They are unsolvable and do not fit into current ...

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 I were to ask if your database load profile is good, bad, or ugly, how would you reply? If you are unsure about how to answer that, you are not alone. There are a lot of factors that come into play ...