AI Adoption - Drive Business Value and Organizational Impact
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Overview
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Learn how T-Mobile transformed their network operations from manual workflows to automation-first foundations in this comprehensive conference talk from NANOG. Discover the incremental approach used to introduce automation that absorbs high-volume incidents, reduces repetitive human intervention, and creates consistent operational behavior across large-scale networks. Explore both reactive and proactive automation use cases, including safe auto-mitigation with guardrails, service redundancy validation, and early detection of network degradation before customer impact occurs. Understand how automation is treated as production software, why accurate state and engineering discipline are critical, and what lessons were learned building automation at scale in modern multi-vendor environments. Examine the role of AI in network operations as an assistive capability layered on top of strong automation foundations rather than a replacement for operator judgment. Gain insights from T-Mobile's Senior Member of Technical Staff Issa Abu Eid, a Triple CCIE with over 18 years of Tier-1 service provider experience, and Principal Network Engineer Uday Tadikonda, who leads IP network automation initiatives serving 1,300+ engineers. Learn practical strategies for scaling operations safely, improving network reliability, and building automation systems that operators trust while maintaining operational simplicity and reducing mean time to resolution through data-driven approaches.
Syllabus
Automation for Operations – T-Mobile Journey
Taught by
NANOG