Blog 2018-12-11T12:14:16+00:00


Detecting New and Evolving Fraud Patterns in Digital Commerce

As attacks grow in scale and velocity, businesses are forced to evolve their fraud detection methods from manual detection involving blacklists and rule engines to machine learning algorithms that can detect known and emerging types of fraud. This article highlights why existing fraud detection methods have limitations and more importantly a few reasons why unsupervised machine learning is gaining traction. Read More >>

Maximizing User Acquisition ROI with AI Technology

In recent years, many mobile applications, including mobile games, have expanded to the global market. However, as they expand, fake traffic is becoming a growing problem that has long plagued many game developers. It directly results in the waste of marketing resources, making it impossible for developers to have real control over the ROIs of acquiring new users.  Read More >>
Unsupervised Machine Learning Cat B

Unsupervised Machine Learning: A 5-Minute Beginner’s Guide

Unsupervised Machine Learning (UML) is a topic that we get a lot of questions about here at DataVisor, because UML is at the core of our detection platform. In this 5-minute primer on UML, we start by defining the overarching field of Artificial Intelligence, then we drill down to the sub-field of Machine Learning, and lastly we discuss the various machine learning techniques, including UML, and when each ML technique is most effective. Read More >>
All articles loaded
No more articles to load

Ready to enhance your detection with unsupervised machine learning?