Alignment First, Then Intelligence: The Hidden Engineering Behind AI Analysis | Summit 2026

At the Summit 2026 conference organized by InfoQ China, it was emphasized that a key prerequisite for achieving intelligence in artificial intelligence systems is ensuring data and model consistency. Speakers noted that the hidden engineering work of unifying formats, eliminating contradictions in training data, and synchronizing model predictions is often underestimated. Without this foundation, even the most powerful algorithms exhibit unpredictable behavior. The focus was on data quality infrastructure as well as validation methods that prevent divergence between expected and actual AI behavior in production. Experts urged prioritizing consistency at all stages of the machine learning pipeline.