Avoiding AI failure: How to drive real business value with AI
95% of AI projects fail, according to research from MIT. As organizations pour resources into AI initiatives, the gap between expectation and realized value continues to widen, leaving IT leaders searching for answers. There are many reasons why AI projects don’t succeed, but one of the primary culprits lies in the data, which often resides…

