AI Illustrations

The telecommunications sector has been built on innovation - but is still exploring the full potential of data science and machine learning for its networks. For every task revolved around forecasting, data assimilation, risk analysis, and a host of additional technical or administrative functions relying on human guesswork, there is a need to better understand AI’s role as an augmenter and enricher of current people, processes and projects, not as a replacement.

Why AI?

In this whitepaper, we look at why a sector that has been built on innovation and keeping ahead of the curve, isn’t exploring the full potential of this crucial tool. It’s not to say that AI is a silver bullet - rather a set of smart, focussed systems that can augment the best skills in the mobile tower industry, and offer a sixth sense for future challenges to come.

Challenges Shaping Strategy

As the telecommunications industry commits to reducing its emissions through science-based targets, here we look at the unique challenges faced in Sub-Saharan Africa. From networks spanning vast and extreme terrains and sites thousands of km from a fuel port, to poor road conditions and weak power grid infrastructures, there are a host of difficulties that make the optimisation of maintenance a critical factor in underpinning network growth and resilience

Enhancing Operational Efficiency and Minimizing OPEX

Tower companies only analyse a small proportion of the data they have, leaving an ocean of untapped opportunities for optimisation hiding in plain sight. By integrating unconnected physical assets – towers, equipment, systems – with the digital world, towercos can tap into unprecedented operational efficiency to drive down OPEX and maximise returns on CAPEX – all through the power of AI and advanced data science tools.