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Nokia Uses Analytics, Machine Learning To Help Mobile Providers

2 December, 2016

Nokia Uses Analytics, Machine Learning To Help Mobile Providers

Wireless carrier competition in the U.S. is white hot — analysts increasingly see signs of wireless market saturation, meaning that growth is most likely going to come from competitors. Of the four major U.S. carriers, T-Mobile USA has led the way, slashing prices, killing the two-year contract and daring its competitors to follow suit.

As competition intensifies, Finnish mobile technology provider Nokia believes customer service will emerge as an even more important key differentiator, and analytics and machine learning will take customer service to the next level in the U.S. and around the globe.

In 2011, when AT&T announced its intention to acquire T-Mobile USA from Deutsche Telekom, it looked like the wireless market in the U.S. was well on its way to becoming a duopoly. Verizon Wireless and AT&T already held the lion’s share of customers between them, and they both held licenses to the majority of wireless spectrum too. But then the Antitrust Division of the U.S. Department of Justice blocked the proposed $39 billion acquisition.

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