Quick Takes

Best Practices for Fraud Managers: Selecting a Fraud Prevention Solution – Part III

2018-09-19T09:39:27+00:00 September 19th, 2018|Quick Takes|

This is the final part of a three-part blog post series highlighting some of the key things to look for when it comes to choosing a third-party fraud prevention solution. In this post, we go over topics such as adaptability, scalability, ease of integration, and flexibility in deployment options.

Best Practices for Fraud Managers: Selecting a Fraud Prevention Solution – Part II

2018-09-13T10:45:07+00:00 September 13th, 2018|Quick Takes|

This is part two of a three-part blog post series highlighting some of the key things to look for when it comes to choosing a third-party fraud prevention solution. In this post, we go over topics such as explainability, engaging visualizations, data privacy processes, and etc.

Best Practices for Fraud Managers: Selecting a Fraud Prevention Solution – Part I

2018-09-11T11:22:25+00:00 September 11th, 2018|Quick Takes|

This is part one of a three-part blog post series highlighting some of the key things to look for when it comes to choosing a third-party fraud prevention solution. In this post, we go over topics such as multi-layer protection, target use cases, global reach and data, etc.

Maximizing User Acquisition ROI with AI Technology

2018-08-24T16:13:57+00:00 July 26th, 2018|Quick Takes|

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. 

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

2018-08-24T16:15:34+00:00 June 5th, 2018|Quick Takes|

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.

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