Using data science to capture and increase visibility of M2M roaming traffic

on-demand

Mobile operators are constantly faced with new challenges that affect their ability to either grow the roaming business, scale their networks and operations to meet roaming demand or maintain the transparency and control needed to efficiently monetise their network assets. The current COVID-19 pandemic, and the impact it has had on international roaming revenues, is a poignant reminder of how fragile the roaming ecosystem can be.

For mobile operators to offset the effect that these types of industry shifts can have on the bottom line, they need to ensure better use of data by reacting to the insightful stories it has to tell about the current state of international roaming.

Why YOU should see this webinar:

Get the most value from every connection with inbound M2M and IoT detection:

– Using cutting-edge data science and machine learning techniques, BICS explains how you can identify M2M and IoT devices already roaming in your network, analyse their behaviour in just a few clicks, and take strategic steps to get the most value from every connection

Reclaim control of roaming in your network with permanent roaming detection:

– Take advantage of insights on the usage and behaviour signatures for permanent roamers displaying machine type communication (MTC), compared to those displaying human-type communication (HTC)

– Learn how you can gain the transparency needed to drive the collection of M2M traffic towards your network through a dedicated gateway

Find out how allowing data to tell its story enables these valuable use cases and much more:

– Supervised machine learning
– Unsupervised machine learning


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