The hidden crisis behind AI’s promise: Why data quality became an afterthought

Companies rushed into AI adoption without building the data foundations necessary to make it work reliably. Now they’re discovering that even the most sophisticated algorithms can’t overcome fundamentally flawed information, and the consequences extend far beyond poor performance metrics.  The problem is strategic. Companies are building AI applications on data foundations that were never designed … continue reading

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