Paper maps evolution of AI operations in cloud networks from manual to autonomous

This paper details the evolution of AI operations (AIOps) within cloud network infrastructure, charting a course from manual troubleshooting to fully autonomous incident resolution. It introduces a maturity model with five operational generations, analyzing the technical and organizational hurdles that hinder progress between them. The research emphasizes that achieving autonomous operations requires a holistic approach, integrating advancements in tooling, trust frameworks, knowledge management, and operational culture. AI

IMPACT Provides a roadmap for infrastructure organizations to adopt progressively autonomous AI operations.

RANK_REASON Academic paper detailing a conceptual model and evolution of AIOps. [lever_c_demoted from research: ic=1 ai=1.0]

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