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Data science is only poised to grow in importance in the telecommunications industry as big data tools become more sophisticated and are able to assess parts of the business that were long thought to be beyond the realm of predictive analytics.
After all, analytics adoption by telecom alone saw a 50% compound annual growth rate by the end of 2019.
So, what are the best machine learning (ML) use cases with which telecom companies can exploit the massive number of data points that are flowing through their network?
Read this detailed white paper to learn about 4 of them and how to put them into action.