How to Identify and Prevent the 7 Most Common AI Project Failures in Your Organisation
AI projects fail when teams treat production systems like experiments. The 7 most common failures are: undefined business outcomes, missing monitoring, absent data governance, unnecessary custom models, underestimated integration, no retraining plans, and organizational misalignment. Prevention requires production-grade infrastructure when AI affects business decisions or handles regulated data. Key Takeaways If drift exceeds 15% from […]
