Building the mobile carrier of the future with AI

venturebeat | July 08, 2019

While we are in the midst of one of the most exciting times in telecommunications history — driven by things like 5G, Wi-Fi 6, virtualization, and transformation of networks its easy to focus on what the future might bring, as opposed to what operator networks are already capable of doing today. The reality is that mobile carriers dont have to wait for the future to arrive because they are already sitting on top of a veritable goldmine.The goldmine is made up of massive amounts of data that traverse telecom networks. Today’s core networks are made of expensive, heavy-duty equipment optimized for transporting this data. They werent designed with data analytics in mind. As a result, most operators havent yet developed effective strategies to transform user data flows into actionable customer insights. Let alone take it to the next stage to become analytics-driven, digital businesses that can compete with OTTs on customer intelligence.

Spotlight

The Mirai botnet infected and then exploited poorly secured IoT devices to perform the largest ever distributed denial-of-service attack. The critical components for establishing context. Includes the scope and extent of a suspected attack, and how best to coordinate the incident response actions. Big data analytics, machine learning, and other automated decision- making techniques can be applied to this problem to augment human capacity and judgment.

Spotlight

The Mirai botnet infected and then exploited poorly secured IoT devices to perform the largest ever distributed denial-of-service attack. The critical components for establishing context. Includes the scope and extent of a suspected attack, and how best to coordinate the incident response actions. Big data analytics, machine learning, and other automated decision- making techniques can be applied to this problem to augment human capacity and judgment.

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