AI Hallucinations: Fixes That Actually Work

AI hallucinations happen when a model produces information that sounds confident but is incorrect, unsupported, or made up. This is not “lying” in a human sense; it is a prediction system filling gaps based on patterns it has learned. The real problem is practical: hallucinations can slip into customer support answers, analytics summaries, legal drafts,…

Quantifying Data Debt: Measuring the Long-Term Cost of Poor Data Practices

In many organisations, data behaves like a growing forest—lush, complex, and full of potential. Yet without careful stewardship, weeds of inconsistency, duplication, and inaccuracy begin to choke its roots. What starts as a small tangle of neglected records eventually becomes an impenetrable thicket—slowing decision-making, distorting insights, and burdening innovation. This overgrowth is what experts call…