Vuetel, the operator specialized in international wholesale voice and data services, has signed a collaboration agreement with the faculty of Engineering of the University of Perugia for the development of an anti-fraud and security system in the voice services market.
The goal is “to detect anomalies that characterize international telephone traffic” by using new tools for business intelligence based on Data Analysis and Machine Learning (machine learning), technologies at the basis of Big Data analysis for the creation of IT systems and advanced algorithms.
“With Data Analysis it is possible to extract data and create patterns that human analysis is not able to identify; Machine Learning is based on algorithms to classify and find anomalies in the data that they are able to learn from human behavior”, he underlines Vuetel in its official note. “It is a technology widely applied in the whole IT field and often overlaps with computational statistics, a discipline that aims to deal with the elaboration of predictions through the use of a computer”.
It should be noted that these tools are already used to intercept telephone fraud, including some that directly affect end users, who are able to empty the telephone account.
“Machine learning today is increasingly applied to the most diverse disciplines of industry and services and basically represents a set of methods that allow a machine to arrive at a specific behavior without having been specifically programmed,” explained explains Emanuela Bevilacqua CTO Voice of VueTel.
“It is an automatic learning closely linked to pattern recognition, which allows a machine to make a ‘decision’ independently of a given analysis made on that pattern.”