State of Data Management and Its Impact on Development

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Today’s enterprises are eager to implement and leverage artificial intelligence (AI) for various applications, from operations to new product development. Effective data management is crucial for successful AI implementation. Companies must ensure data quality, distribution, access, privacy, security, and literacy. Inefficient data management can significantly hinder AI development, while well-planned data management can drive success.

This report provides insights into the state of data management practices and their impact on AI development, based on a survey conducted by theCUBE Research in partnership with Starburst. It highlights the challenges, strategies, and future trends that business leaders need to consider to maximize the potential of AI in their organizations.

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