AI in the telco industry

16 Jan 24

In the relentless march of technological progress, artificial intelligence (AI) is touching various industries, not excluding the vast telecommunications sector. The ever-expanding capabilities of AI are not merely augmenting - but revolutionising the way businesses operate.

As telco firms develop 6G technology, artificial intelligence (AI) in the telecommunications industry is poised to usher in a new era of innovation and progress.

Challenges of traditional practices

With various technological advancements now at their disposal, operators are understanding the limitations of traditional network management practices. Manual intervention and reactive troubleshooting leads to delays in issue detection, increased downtime and suboptimal network performance.

It is against this backdrop that the industry is turning to AI and automation for transformative solutions. These intelligent technologies not only address existing challenges but also pave the way for unprecedented innovation.

Current applications of AI

Already, there are plenty of industry case studies for AI in the telco sector. Businesses are using AI to crunch data employing intelligent network analytics, optimise network performance with advanced algorithms and enhance customer service using AI-powered chatbots.

AI’s ability to assess large volumes of data allows it to derive insights for proactive network monitoring, capacity planning and predictive maintenance. This helps engineers by identifying notable patterns, detecting anomalies and ultimately predicting network failures.

Looking to the future

Believed to be a mere four years away, the installation and overall effectivity of 6G technology will depend on AI. Due to this, SkyQuest estimates a substantial $10.4 billion valuation for AI technology in the telco sector by 2030.

As we adopt the sixth generation of wireless cellular communication, AI will transcend mere optimisation, becoming an integral part of network operations. 6G will be a cognitive network that self-adapts using machine learning (ML). By using diverse factors such as user demand, traffic patterns and geographic conditions, ML algorithms will facilitate self-adaptation, optimising network elements, antenna configurations and coverage strategies for heightened efficiency.

AI & industry sustainability

Most telecommunication service providers have made commitments to dramatically reduce their carbon footprint over the next decade. 6G envisions a clean-slate approach, shedding complexity and embracing AI as a foundational technology directing network design, construction, operation and optimisation – ensuring businesses are conducted in an energy-efficient manner.

Specifically, AI will be employed to actively decrease energy consumption in both Radio Access Network (RAN) and Core components. This will help businesses align with the broader industry commitment to reduce carbon footprints.


The relationship between AI, automation, and telecoms is multifaceted and rife with potential. As the technological landscape continues to evolve rapidly, one thing remains certain – the continued convergence of these advanced technologies in telecom will drive the future of innovation and progress.

At TrackTrans, it’s our goal to make the power of automation accessible to businesses of all sizes. Our data-driven software solution allows telco businesses to manage their inventory with precision and calculate a highly accurate plan, customised to operations of all shapes and sizes.

Embrace the future today and try our free demo.

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