HAI Mindbridge TRA Robust PCA

A machine learning algorithm that automatically detects outliers that deviate from patterns in multi-variable data. For example, in a manufacturing company, the "order date → delivery date" interval is typically 3-5 days, but manual input errors can create values like 30 days or -2 days → detected as outliers. It can also find anomalies in high-dimensional data (with multiple variables) that are invisible to the human eye. Simply put, it's a tool where AI automatically identifies "things that don't fit the overall pattern".