When AI Fails, Blame the Data – Not the Model
March 20, 2026 -
When AI goes wrong, the instinct is to blame the model. But the real culprit is almost always the data. As organizations rush to adopt AI, many overlook the foundational issue: fragmented, inconsistent, and ungoverned data. Without fixing the “fuel,” even the most advanced models will amplify risk instead of value. Read More