June 4, 2026 - The success of AI depends less on algorithms and more on the quality of the data behind them. This article explores how leading organizations are building the governance and master data capabilities needed to scale AI with confidence.

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.