Why do AI Projects Fail
AI projects often fail—with estimates suggesting up to 80-95% fail to reach production or deliver ROI—due to poor data quality, insufficient, or unbalanced data, coupled with a lack of clear business strategy. Key pitfalls include treating AI as a pure IT coding project rather than a data-centric endeavour, failing to align with business goals, and underestimating …







