Don’t just manage your network, master it with AI

Contributed by Jawad MAALOUM, CEO & Co-founder – MLnetworks

Imagine customers constantly dropping calls, data usage soaring, internet speeds crawling, investments in networks aren’t delivering the returns it should. This is the harsh reality for many telecom companies today.

The telecom landscape is undergoing a rapid digital transformation. Telcos are juggling the challenge of managing existing infrastructure while simultaneously embracing cutting-edge technologies.

This creates a complex situation: how can they deliver a seamless user experience while maximizing network efficiency and profitability?


The Answer: AI – Your Network’s Secret Weapon

Artificial Intelligence (AI) offers a powerful solution for telcos by enabling:

🔍 Predictive Analytics: AI empowers telecom networks with predictive analytics, enabling proactive traffic management, performance optimization, and efficient resource allocation across generations.

📊 Network Planning and Expansion: AI predictive modelling assists in strategic network planning and expansion initiatives. By forecasting future demand and identifying optimal deployment locations, telecom operators can ensure network scalability and efficiency.

💡 Improving Network Performance: AI algorithms analyse vast amounts of network data to optimize Quality of Service (QoS) parameters such as: throughput, which results in a seamless user experience.

Meet MLnetworks at FutureNet MENA 2024 in Dubai

💰 Lowering Network Costs: AI enables cost reduction through various means such as predictive maintenance, which anticipates resource allocation optimization, ensuring efficient utilization of network resources.


The Takeaway: Embrace AI or Risk Falling Behind

In today’s ever-evolving market, adopting AI is no longer optional. It’s the key to staying ahead of the curve. Here’s the stark reality: telcos are hesitant to embrace AI risk lagging behind their competitors, potentially facing a decline in customer satisfaction and profitability.

Real-World Success Story: How AI Transformed a Telco Network

“MLnetworks’ AI tools were the secret weapon a leading MENA telco used to slash costs by $3 million and boost network performance by 15%!”

“MLnetworks’ suite of AI tools has changed the way we operate our network. Their smart tools helped us to decide where to expand and invest money wisely in the network”      

                        – CTO of leading Telecom Company in MENA


Here is how MLnetworks did it

A leading telco in MENA was struggling to keep pace with the ever-increasing demands of their customers &  to optimally invest in the network. ROI reduced, internet speeds sputtered, and customer frustration mounted.

Armed with a suite of AI tools spanning from “Smart Analytics”, “Smart Network Planning”, “Smart Opex”, “Smart KPIs” to “Smart Capex”, MLnetworks delved into the intricate world of this telco’s network end to end. MLnetworks deployed AI driven products that learned from the vast ocean of historical network data from the multi-devices connected in the network (Radio, Transport, Core) in a multi-vendor ecosystem. This data, encompassing everything from signal quality to user experience, became the key to unlocking the network’s hidden potential.

MLnetworks collected historic data about the network such as traffic trends across RAN & Transport Network and generated the ML model, to ensure accurate future predictions, which helped to understand the actual need to expand the network nodes.

MLnetworks predicted discrete labels for cells/sites based on traffic/ utilisation and mechanised a proactive action plan to invest in the network with high ROI potential.

Also, for improving customer experience, the ML model was trained to predict user experience with changing signal quality and other variables.


ML/AI Framework


When some parts of the cluster were busier than others, these tools made sure the load was spread evenly by changing how devices connect between cells, depending on how busy each one was at the moment.

Types of ML used


Some other advanced techniques related to neural networks were employed in the customer’s network, including Dense Neural Networks for creating numerical representations of site capacity for peak and off peak hours/days, Long-Short Term Neural Networks (LSTMs) for predicting future site usage based on past data, and Graph Neural Networks for understanding the complex relationships between RAN sites and Backhaul links in a network cluster.

LSTM for capacity prediction with 95% accuracy


The Results: A Network Transformed

  • Reduced Costs: The telco slashed costs by a significant margin of $3Mn using predictive analytics, informed decisions and optimized resource allocation.
  • Boosted Performance: Network performance saw a substantial improvement of 15%.
  • Happier Customers: By addressing dropped calls and slow speeds, customer satisfaction soared.

Don’t Let Your Network Become a Liability

Don’t allow your network to be a source of customer churn and financial woes. Explore how MLnetworks’ AI solutions can transform your telecom organization today!


Take the Next Step:

Need an Initial assessment of your network, book a demo here

Read more about our case study here