AI-driven operations aren't optional, they're survival. How to cut OPEX by 25% while network complexity explodes.
As telecom networks grow more complex and customer expectations rise, Communications Service Providers (CSPs) face a stark reality: AI-driven operations are no longer a strategic luxury - they’re a survival imperative.
With operational expenditures ballooning and outages costing billions annually, the case for automation and AI is both urgent and compelling.
AI-Powered Automation Can Reduce OPEX by up to 25%
Sutherland Global reports that CSPs can reduce operational expenditures (OPEX) by as much as 25% through AI-powered automation.
By shifting from manual, reactive processes to predictive, autonomous operations, telecoms can streamline service assurance, fault management, and network optimisation.
This isn’t just about cost savings, it’s about agility, scalability, and delivering consistent, high-quality customer experiences in real time.
Numo Data’s monitoring and assurance solutions support this transformation by providing AI-ready, high-quality data pipelines that feed automation engines with the context they need to act intelligently. From anomaly detection to predictive maintenance, the right data foundation is key to unlocking these efficiencies.
Network Operations Could Consume 50% of CSP OPEX by 2027
The World Economic Forum recently highlighted that network operations are projected to account for around half of total CSP OPEX by 2027, driven by the explosive growth in data traffic, device connectivity, and service complexity.
Without automation, CSPs risk being overwhelmed by operational overhead. To stay competitive, telecoms must embrace closed-loop automation, semantic modelling, and digital twins — technologies that enable real-time visibility and intelligent decision-making.
Numo Data helps CSPs build the AI-ready data infrastructure required to support these capabilities, ensuring that automation is not only possible but scalable and sustainable.
Generative AI Could Help Cut $20 Billion in Annual Outage Costs
Prodapt cites research from TM Forum showing that telecom operators collectively lose around $20 billion annually to network outages and service degradations.
Generative AI (GenAI) offers a powerful way to address this challenge, from natural-language interfaces that help engineers query network behaviour, to intelligent fault analysis and proactive service-impact assessment.
By combining GenAI with structured, contextualised network data, CSPs can accelerate root-cause identification, improve change management, and significantly reduce downtime.
Numo Data’s assurance solutions are designed to enable this evolution, delivering the data observability and semantic enrichment needed to make GenAI truly effective in live operations.
Numo Data’s Perspective:
AI-driven operations aren’t optional — they’re essential. As OPEX pressures rise and networks become more complex, CSPs must act now to automate intelligently, reduce costs, and deliver resilient, high-quality services to end users.
With the right data foundation combining observability, metadata enrichment, governance, and live data pipelines, telecoms operators and their customers have the opportunity to thrive in the age of AI.
