
The global corporate landscape is littered with the digital skeletons of ambitious artificial intelligence projects that promised transformation but delivered little more than frustration and wasted resources. In the relentless pursuit of the next groundbreaking algorithm or generative AI model, organizations frequently overlook the one element that dictates success or failure: the quality and structure of their underlying data. This










