The telecommunications industry is undergoing a profound transformation, with the move toward AI-native networks driving the need for greater efficiency, agility, and resilience. Network Digital Twin (NDT) emerges as a critical enabler of this transition, offering a dynamic, near real-time digital replica of network ecosystems. By unifying data across domains, NDTs provide comprehensive end-to-end visibility, accelerate fault detection and resolution, and support predictive analytics for smarter investment and capacity planning.
Key Takeaways:
- Strategy first - successful autonomous journeys depend on a clear strategic vision and robust foundational capabilities, ensuring CSPs are AI-ready from the outset.
- Strong Data Foundations - break data silos without breaking the bank, by standardising formats and integrating multiple data sources with efficient data storage strategies. A unified data environment enables advanced AI operations in real-time.
- Incremental Autonomy - enable CSPs to progressively achieve autonomy – from establishing data readiness to unlocking full ecosystem monetisation – with experienced partners like Celfocus guiding each step of the journey.
