Data & AI · 14 October 2026
Why AI projects fail on data, and how to avoid it
AI projects that fail rarely stumble on the algorithm: four data-related causes of failure observed in the field, and the method we use to avoid them.
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Predictive projects, generative AI, agents and AI governance.
AI projects that fail rarely stumble on the algorithm: four data-related causes of failure observed in the field, and the method we use to avoid them.
Read the articleBefore launching an AI project, ten questions to check whether your data allows it: target decision, history, definitions, quality, rights of use, delivery.
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