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Infrastructure Challenges: The Real Bottleneck in AI Systems
AI 시스템의 성공을 결정하는 인프라 문제
Why it matters
Most AI performance issues stem from infrastructure limitations, not model shortcomings. This piece highlights how Context Engineering—combining data accessibility, knowledge mapping, retrieval precision, and governance—forms the critical foundation for enterprise AI systems to realize their full potential.
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Context EngineeringRAGInfrastructureData GovernanceEnterprise Architecture