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How is AI Influencing Telecoms?

AI in telecoms

AI is at the frontline of the global telecoms boom.

Initial generations have demonstrated much promise and research points to AI being one of the primary emerging trends in the telecommunications sector.

The impact artificial intelligence is having and will continue to have looks significant.

Let's explore some of the innovation so far.

Self-Optimising Networks (SON)
Self-Optimising Networks (or SON) are those networks whereby the aspirations and limitations are set by the designers.

The control software operates within set parameters, ensuring optimal operational proficiency.

Deep Neural Networks

Deep Neural Networks provide enhanced customer engagement by digitising business processes.

Highly efficient, Deep Neural Networks enable businesses to provide excellent customer service to customers working with businesses across the digital telecom sector.

Software Defined Networks (SDN) and Network Function Virtualisation (NFV)

SDN and NFV increase the diversity of potential traffic through the network.

As artificial intelligence evolves both services will become more sophisticated, enhancing customer interaction and overall user-friendliness.

Today’s telecoms providers face increasing demands for exponentially better services, coupled with optimal user experiences.

This is indicative of the telecom digital transformation and demonstrates that telecoms – alongside 5G and the Internet of Things (IoT) – is at the forefront of cutting-edge technological innovation.

How AI is Influencing Telecoms

Artificial intelligence is already delivering tangible commercial results for businesses in four key areas.

These are:

  • Network Optimisation
  • Preventative Maintenance
  • Virtual Assistants
  • Robotic Process Automation

Network Optimisation

The telecommunications sector is using increasingly advanced algorithms to search for data patterns to detect and predict network anomalies.

This degree of network optimisation ensures that issues are resolved before customers are negatively impacted.

Predictive Maintenance

AI-driven predictive analytics utilise data, sophisticated algorithms and machine learning technology to predict outcomes based on historical data.

This provides operators with valuable data-driven insights to monitor performance.

The information AI can gather is vital to current telecom trends. In the short-term, network automation and artificial intelligence will complete the most accurate root cause analysis and issue prediction possible. In the long term, these technologies will underpin more strategic goals, such as elevated customer experience and network efficiency.

Virtual Assistants

Such is the innovation of telecommunications AI; virtual assistants are now commonplace. This machine learning technology can automate and scale one-on-one conversations with profound efficiency and cost-effectiveness so businesses can provide lauded customer service levels.

The impact of virtual assistant digital telecom transformation has been immensely tangible. For example, leading network provider, Vodafone, who saw a 68% improvement in customer satisfaction after introducing its new chatbot, TOBi, to manage a plethora of customer service enquiries.

Robotic Process Automation

RPA provides, arguably, the greatest opportunity for functional efficiency. How?

In giving businesses easier access to back office operations and large volumes of repetitive and rule-based actions, labour intensive workflows can be streamlined.

This gives employees more time to concentrate on duties more pertinent to commercial success.

Artificial intelligence is already influencing the telecoms sector in a big way – and with the ongoing collaboration between technologies, it’s not an exaggeration to say that the commercial landscape may well look a whole lot different in just a few years.

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