As businesses increasingly turn to AI, especially generative AI, to enhance productivity, they often stumble upon five significant barriers that can hinder successful implementation. Low data quality stands out as a primary obstacle, with many organizations recognizing the urgent need to bolster their data management capabilities. Leaders like Satysh Muthukrishnan of Ally Financial emphasize the importance of dismantling siloed structures and enforcing robust data governance to navigate these challenges effectively. This situation raises an intriguing question: how can companies ensure they harness the full potential of their data to drive AI success? I'd love to hear your thoughts and experiences on overcoming these hurdles! #AI #DataQuality #BusinessTransformation #Leadership #TechInnovation