PRNewswire has recently reported on ABI Research regarding Mobile Broadband Operators. They are ramping up spending for big data and machine learning as they transform into digital service providers. With a long history of handling huge datasets, and with their path now blazed by the IT ecosystem, mobile operators will devote more than $50 billion to big data and machine learning analytics through 2021, forecasts ABI Research. Machine learning technologies will lead operators to profoundly change how they manage the telecom business.

“Machine learning-based predictive analytics are applicable to all aspects of the telecom business,” says Joe Hoffman, Managing Director and Vice President at ABI Research. “It is important that operators master and internalize these technologies and not rely solely on their vendors’ expertise. Executives that overlook big data and machine learning risk irrelevance.”

Machine learning can deliver benefits across operators’ telecom operations with financially-oriented applications, including fraud mitigation and revenue assurance, which currently make the most compelling cases. Legacy analytics are rule-based solutions that cannot keep pace with the criminal element, but machine learning excels at spotting trending anomalies. Predictive machine learning applications for network performance optimization and real-time management will introduce more automation and efficient resource utilization. Even sales, marketing, and customer experience teams will benefit as machine learning helps to innovate and reengineer business processes.

Read more at PRNewswire.