Mobile firms to put USD 50 bln on machine learning by 2021

Mobile broadband operators are forecast to put over USD 50 billion into big data and machine learning analytics through 2021, according to ABI Research, which said machine learning technologies will lead operators to profoundly change how they manage the telecom business. Telecom big data solutions include the commercial IT kit; the open source, Java-based Hadoop ecosystem, SQL/NoSQL data management, and orchestration platforms. Spending on this infrastructure will exceed USD 7 billion in 2021. The biggest growth and most value however will come from using predictive analytics to improve telecom business performance, with machine-learning-based predictive analytics wet to grow at nearly 50 percent CAGR and reach USD 12 billion through 2021. Ericsson, Huawei, Nokia and ZTE all deliver big data and machine learning systems oriented toward network operations. Hadoop/NoSQL startups like…


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