Falling behind the AI wave has significant consequences: 99% of enterprises have encountered issues that disrupted AI projects or prevented them outright, including problems accessing or managing the required data; perception that the risk of failure had become too high; and an inability to stay on budget. These issues had real consequences, eating up 17% of AI investment and setting strategic goals back by six months on average. Closing the data understanding gap is key to control: 70% of enterprises admit ...