Businesses are pursuing a range of AI initiatives, and modernizing data infrastructure tops the list. But current data practices are an issue, as several companies haven't attained a high level of sophistication with crucial data-related aspects. A Deloitte study of AI adopters finds businesses face challenges in critical aspects of data management: preparing and cleaning data, integrating data from diverse sources, training AI models, and ensuring data governance. In Deloitte's latest State of AI in the Enterprise survey, at least 40% of adopter organizations reported "low" or "medium" level of sophistication across a range of data practices.1 Moreover, nearly a third of executives identified data-related challenges among the top three concerns hampering their company's AI initiatives.