
A staggering reality confronts businesses today: research and industry forecasts suggest that between 60% and 90% of AI projects could fail by 2026, unable to deliver measurable value or even reach deployment, highlighting a critical challenge in a world increasingly reliant on artificial intelligence. This alarming statistic underscores the urgent need to address underlying issues before AI’s transformative potential for










