Produced by MIT Technology Review Insights in partnership with Databricks, this report examines how organizations are adapting data management practices to support generative and agentic AI. Based on a global survey of 800 senior executives and in-depth interviews, it reveals that only a small percentage of organizations are delivering measurable business value from AI. The report identifies key barriers including data quality issues, lack of unified platforms, governance complexity, and skills gaps. It highlights the growing importance of data intelligence, real-time data access, and strong alignment between data and AI strategies. The findings emphasize that scalable AI success depends on robust data foundations and organizational readiness.

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