We often assume that data tells the truth. But in reality, flawed data doesn’t just distort numbers—it quietly reshapes decisions, strategies, and outcomes. The danger lies not in obvious errors, but in the patterns we never pause to question. This article explores how machine learning steps in where human oversight fails—flagging inconsistencies, exposing silent risks, and restoring trust in the very foundation of intelligent decision-making.
