Dataiku: Top 4 Growth Areas of Machine Learning In Telecommunications

If there is one industry that should be leveraging data in every way possible, it’s telecommunications. After all, it’s through their services that billions of people each day are generating massive amounts of data on smartphones through calls, text messages, app downloads and every kind of internet activity imaginable. No wonder, then, why an analysis by ReportsnReports in 2014 projected that the use of data analytics in telecommunications would grow nearly 30 percent per year between 2013-18.

A report the following year, by Ericsson, went even higher, projecting a 50 percent compound annual growth rate by the end of 2019. So there is no doubt that data science, machine learning (ML), and artificial intelligence (AI) are inevitable when it comes to the industry’s future. Those that figure out how to leverage these techniques and technologies will thrive; those that don’t will be left behind. And yet, experts say that the telecom sector has only just begun to explore the potential of data science. This white paper uncovers how machine learning and AI offer opportunities in telecommunications to shift the paradigm everywhere from troubleshooting to service, marketing and fraud detection, and everything in between.