To keep you up-to-date with what’s going on in anomaly detection, we keep an ongoing list of glitches. Here’s what happened in June.

There's a growing disconnect between the capabilities businesses need from their analytics and what traditional tools actually provide. Compared with AI-based anomaly detection, dashboards, reports and static thresholds can prolong time to detection and time to resolution in several key ways.

In the first post of our three-part series on "Why anomaly detection is a business essential," we’re going to take a look at what constitutes an anomaly, what anomaly detection is, and how it could have a huge impact on business success.

The global data supply reached 4.4 ZB in 2013 - or 4.4 trillion GB - but less than five percent of that data was used for analysis, according to a study by the IDC.

As 5G becomes the superhighway on which all data travels – scalable, automated analytics tools will become a must-have for the majority of enterprises.

Getting the right metrics at the right time could be the difference between running a smooth operation and making costly mistakes. See how Anodot developers approached this challenge to minimize data delay for customers.

Its reign is over, but "Game of Thrones" is far from a dead subject. Fans spent the final seasons compiling painstaking analysis – complete with algorithms, AI and big data sets –  to find hidden Easter eggs.

One of the world’s leading bed banks - a wholesaler of hotel allocations to B2B and B2C clients – recently experienced a surge in bookings. Great news, right? Not really.