The role of AI in the Telecoms Industry - Part One

The role of AI in the Telecoms Industry - Part One

Jaskaran Singh, Senior VP for Big Data & Analytics at Mobileum


In today’s digital and data-hungry world, more and more mobile connections are being driven by IoT and 5G networks. This creates a lot of pressure on operators and there’s a critical need for a more cost-effective, digital way of managing the whole telco ecosystem.

In combination with other strategic data science investment, Artificial Intelligence (AI) is fundamental to this transformation. Blending AI analytics with big-data and service delivery platforms, supported by specialist data science and domain expertise, is the key to delivering tangible business impact.

There’s no doubt that AI has the potential to have a major impact on all aspects of a CSP’s business. From optimisation and automation of the network, to improving customer engagement and workforce automation, there are very few areas where AI and advanced analytics will not have a role to play.

But while AI has great potential, at Mobileum we focus on the areas where we know we can deliver the most value to operators. Key to this is the ability to combine domain expertise, data science and the technology to take actions in a single platform. This is why we deliver solutions based on our Active Intelligence platform, which combines all three.

We also try and remove a lot of the barriers to AI adoption by shielding operators from the complexity involved in implementation. For example, the sophisticated mathematical algorithms that are applied to complex raw data held in operational, billing and CRM systems. Our Active Intelligence platform automates as much of the process as possible, so as the software discovers events, it can test irregularity and act without intervention (e.g. by blocking calls) in a closed loop.

While some may ask questions about the danger of relying on AI and machine intelligence, it’s worth noting that operators can still set strict controls and train systems what to look for, what level of sensitivity is appropriate and what action to take.

One area in particular where this AI has huge benefits is in transforming the ever growing fraud problem faced by CSPs. A carefully implemented AI solution that is continuously adapting and aids human decision-making when required can be very effective in significantly reducing fraud.


In part two of this blog series we’ll discuss this in depth - so stay tuned!