Autonomous Networks Mission challenge

This challenge will be addressed by Moonshot Catalysts for DTW Ignite 2026:
How can CSPs establish a clear path to Level 4 autonomous networks, empowering it to self-optimize, self-heal, and deliver unparalleled efficiency with zero-touch intelligence – driving at least a 30% reduction in operational costs or improvement in operational efficiency through automation (e.g., service delivery time, mean time to repair, number of faults)?

This challenge calls for solutions that move beyond isolated automation toward closed‑loop, zero‑touch autonomy, where networks can self‑optimize, self‑heal, and self‑coordinate in response to dynamic business intents, service objectives, and real‑time operational conditions.

Successful approaches will demonstrate how autonomous capabilities can be safely scaled through governed intent management, conflict detection and resolution, explainable AI decisioning, and resilient operational assurance. Moonshot Catalysts addressing this challenge should showcase how advanced AI techniques, knowledge‑driven reasoning, and cross‑domain orchestration can be applied to high‑value operational scenarios such as fault management, service assurance, and network optimization. Solutions should embed trust, transparency, and accountability into autonomous decision loops, enabling CSPs to confidently delegate critical operational decisions to machines while maintaining control, compliance, and observability.

The outcome is a highly autonomous, ecosystem‑ready network that delivers measurable business impact achieving at least a 30% reduction in operational cost or a 30% improvement in operational efficiency.