The root cause of AI project failures for most organizations isn’t technological deficiency. Instead, companies falter due to their inability to discern truly relevant data, leading to the rapid and expansive propagation of existing organizational confusion. Despite a significant surge in AI investments and the natural expectation of increased intelligence, the reality often falls short. Consequently, numerous teams find themselves struggling under an overwhelming burden.
