Adaptive anomaly detection can also spot hidden anomalies across multiple data dimensions, such as a credit card account that lists transactions in locations hundreds of miles apart at the same time.

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 ...

To combat that, testing must be comprehensive to ensure that command and control systems are reliable, resilient, usable and secure. In this webcast, C4ISRNET examined the challenges of testing ...

While thorough testing and quality assurance checks have always been important steps in the software release and updating processes, they’re taking on a new and higher significance in an ever ...

Data anomalies in your Extract, Transform, Load (ETL) processes can wreak havoc on your analytics and reporting. These inconsistencies often stem from issues in data extraction or loading, or from ...

The Data Science Lab. 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 ...

Marin Software, a leading digital marketing optimization platform, announced the launch of its Anomaly Detector. This new tool automatically identifie ...

The Anomaly Detector from Monolith is said to be the first AI powered software designed to rapidly identify a wide range of issues in test data. It does this by automating the process of raw test data ...

The neural autoencoder anomaly detection technique presented in this article is just one of many ways to look for data anomalies. The technique assumes you are working with tabular data, such as log ...