Closing the AI confidence gap is key to maximizing potential

While many companies are investing heavily in artificial intelligence, a significant gap exists between non-technical and technical executives' confidence levels. This disparity can lead to overconfidence and oversimplification of AI implementation, overlooking the importance of high-quality data. Companies that prioritize robust data governance and management practices tend to navigate these challenges more effectively, with 96% of surveyed companies crediting their strategic investments in data management as a key factor in overcoming obstacles. The average loss due to poor data quality is $406 million, highlighting the crucial role of strong data foundations in achieving successful AI outcomes.