AI is changing how telecoms operators manage their networks, but outdated systems and disconnected data are making progress difficult. Mobile Europe’s latest report looks at the challenges and how operators are tackling them.
Telecoms operators have access to huge amounts of network data, but much of it is spread across different systems. As AI becomes more important in network operations, operators need to find better ways to manage and use this information.
Mobile Europe’s latest independent research report: OSS: Why trusted data matters as a catalyst for AI modernisation, written by telecoms analyst Dawn Bushaus and sponsored by Blue Planet, explores why modernising operational support systems (OSS) is essential for making AI work.
The report includes insights from AT&T, Orange Business, Telefónica Deutschland and industry experts on the challenges operators face and how they are responding.
What does the report cover?
The research explores the main challenges operators face as they move towards AI-native networks, including:
- Why legacy OSS systems need to change
- How operators can improve data quality and break down silos
- Why AI needs to understand network data, not just access it
- How governance and human oversight can keep AI operations safe
- What AT&T, Orange Business and Telefónica Deutschland are doing to modernise OSS.
The report also looks at how technologies such as knowledge graphs, orchestration and event-driven architectures can help operators build smarter, more automated networks.
As AI becomes a bigger part of telecoms operations, having trusted data and connected systems will be essential.
