AWS describes graph-based agentic AI for network root cause analysis
AWS researchers describe a system that models telecom networks as a continuously updated graph ('digital twin') and uses AI agents to run a cascade of graph algorithms (decomposition, clustering, centrality ranking) to pinpoint root causes of failures. The approach was demonstrated with NTT DOCOMO at Mobile World Conference, reportedly cutting root cause analysis from hours to minutes on commercial networks. Agents also consult an incident knowledge base and runbooks, and can escalate autonomy from advisory to supervised to full remediation over time.