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Intelligent Infrastructure for Global Operations
Machine learning and large language models solve different problems. Understanding the architectural implications prevents expensive redesigns in compliance-heavy manufacturing environments.
[ " ML " , " LLM " , " MES " , " WMS " , " System Design " , " Architecture " ]
For AI to work in enterprise and government, we need to solve security, observability, and governance at the orchestration layerβnot just the agent level.
[ " security " , " orchestration " , " enterprise " ]
Randomness is a feature, not a default. Here's how we build agents that produce identical outputs for identical inputs.
[ " architecture " , " reliability " ]
What happens when your agent loses connectivity? If the answer is 'it stops working,' you've already failed.
[ " edge " , " resilience " ]
In high-stakes environments, 'the model said so' isn't an acceptable answer. Building explainable agent systems.
[ " governance " , " security " ]