Telecom operators are fast-tracking a future where networks can configure, heal, and optimize themselves with minimal human intervention. In a session moderated by Abe Nejad of The Network Media Group (NMG), industry leaders recently explored the shift from human-led operations to zero-touch orchestration, highlighting how AI, machine learning, and intent-based automation are enabling self-managing networks.
Speakers:
Watch the full interview.
The discussion emphasized a pragmatic staircase to autonomy rather than a single switch. Operators begin by disaggregating and cloudifying the transport layer, moving from hardware-centric to software-driven, cloud-native stacks. The next step is intent-based automation, where desired outcomes (e.g., experience, latency, resilience) drive actions, not manual commands.
With that foundation, AI-Ops and closed-loop assurance allow the network to detect patterns – rising latency, overheating components, traffic spikes – and safely execute corrective actions in real time. Finally, cross-domain orchestration extends this agility end-to-end across subsea, terrestrial, and cloud networks, unlocking faster time-to-value and new monetization opportunities.
A complementary maturity path traced the industry’s evolution from manual, ticket-driven operations, to assisted automation (scripts for recurring faults), to closed-loop remediation that detects KPI degradation and adjusts policies automatically – setting the stage for software-centric, zero-touch orchestration. The leaders offered real-world examples that underscored the shift: proactive rerouting during degradations, and dynamic resource scaling for predictable surges (e.g., large events), so capacity meets demand “in the nick of time.”
Trust, accountability, and human oversight remained central themes. The leaders underscored that autonomy won’t be 100% machine-led; human-in-the-loop governance will continue to validate policy-, security-, and regulation-critical actions – an equilibrium that may settle near an 80–20 split (automation vs. human validation).
Organizationally, success requires open architectures and standards (e.g., TM Forum open APIs), skills transformation, and a mindset shift from “manual fixers” to intent authors and workflow designers. Internal hackathons and day-to-day AI copilots can build confidence before autonomy touches mission-critical systems.
The end-state isn’t a fixed destination; it’s an agile future state that continuously adapts as technology cycles compress from five-to-ten-year horizons to 12–18 months.
“The end goal is zero-touch orchestration – full-scale automation on a cloud-native platform where applications run on any hardware and open APIs connect the ecosystem.”
