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Showing posts from December 27, 2016

The convergence of IT and telecom and exciting times for mobile broadband

Many analysts across the world are unanimous on the fact that, these are exciting times for mobile broadband as we see the convergence of IT and telecom, virtualization with software-defined networking, or SDN, and network function virtualization, or NFV, the adoption of artificial intelligence machine learning, and the ubiquitous coverage of all-IP 4G and 5G networks.

I can also observe that, with the rise of commercial cloud infrastructure and machine learning services, every mobile operator can be a big data company.

Big data and machine learning solutions oriented toward network operations

I can observe that, leading infrastructure vendors: Ericsson, Huawei, Nokia and ZTE, to name a few are delivering big data and machine learning solutions oriented toward network operations. Hadoop/NoSQL startups like Argyle Data, and chip vendors, led by Intel and Qualcomm, are delivering solutions pertinent to the telecom operator. 

Machine learning can deliver benefits across operators’ telecom operations

At the core of Artificial Intelligence technologies, it is steadily obvious that, Machine learning technologies can deliver benefits across operators’ telecom operations with financially-oriented applications, including fraud mitigation and revenue assurance.

For those who are unfamiliar, 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.