Nowadays, we are flooded on all sides with an enormous amount of data. Large companies store vast amounts of statistical information, production, or financial reports. More and more often, we want or ...

Anomaly detection is the process of identifying events or patterns that differ from expected behavior. Anomaly detection can range from simple outlier detection to complex machine learning algorithms ...

Managing tools take up a lot of our time as marketers. We have to adopt them, optimize them and fix any problems they create during integration. I don't believe it should be that way; we already run ...

If you have a set of data items, the goal of anomaly detection is to find items that are different in some way from most of the items. Anomaly detection is sometimes called outlier detection. There ...

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 ...

VE3 AI Research publishes a study on synthetic data, magnetic dipole modeling, and unsupervised AI for scalable anomaly ...

What is explainable AI (XAI)? What are some of the use cases for XAI? What are the technology requirements for implementing XAI? Anomaly detection is the process of identifying when something deviates ...

I am the VP of Engineering at Apriorit, a software development company that provides engineering services globally to tech companies. Social media is an indispensable tool for businesses to engage ...

Discover how security teams use SIEM software for effective threat hunting with expert insights and best practices.