Telcos turn to machine learning as they drown in data

Machine learning in 2017 will become a mainstream tool for communications providers struggling to transform data overload into actionable analytics, according to Argyle Data. "The telecommunications industry is drowning in data," said Padraig Stapleton, VP of engineering at Argyle Data. Stapleton said fraud and financial analysts alike are overwhelmed by the struggle to control and harness this fire-hose of information into actionable analytics. There is just too much IP traffic going across mobile networks for humans to review, detect and respond to fraud in the traditional ways such as discovering fraud and writing preventative rules. Machine learning does all the grunt work for analysts, sifting through data in real time and providing output instantly in understandable, accessible formats," said Stapleton.