Telecom operators have seen remarkable returns from using generative AI to automate network management, customer care and back-office operations. Most of that impact has been task‑based: automation that speeds up predetermined steps while people manually correlate insights and direct next steps.

The industry is now pushing toward truly autonomous networks and operations, where AI agents proactively watch for problems and coordinate changes across network, IT and business systems.

Together, synthetic data, telecom-domain models, secure agent runtimes and simulations form critical pieces of a secure, telecom autonomy platform, where agents understand operator intent, act safely across business and network domains and keep humans in control of policy.

NVIDIA and its partners are demonstrating these building blocks at TM Forum’s DTW Ignite 2026 — running this week in Copenhagen — giving operators a practical path to running more autonomous, resilient networks and powering richer AI‑driven services for consumers and businesses.

Reasoning models that understand the telecom domain are the foundation of autonomous networks. These specialized models require fine‑tuning on high‑quality datasets, yet 54% of operators cite data‑related issues as their biggest barrier, with the most valuable network and customer data too sensitive to use directly.

Synthetic data is enabling operators to safely increase the volume and diversity of training data, protect sensitive information and democratize access to production‑like telecom datasets across internal teams and external developers, without exposing raw customer records.