Scaling agentic AI means trusting your data - here's what most CDOs are investing in
According to a survey of chief data officers, 50% of organizations adopting agentic AI (AI capable of independent decision-making) cite data quality and retrieval issues as barriers to deployment. The article emphasizes the importance of data trust for successful AI implementation. It suggests that CDOs are investing in data governance, data quality, and data integration solutions to address these challenges and unlock the full potential of agentic AI. The article highlights the need for organizations to prioritize data management and ensure the reliability and accessibility of their data, as these factors are crucial for the effective deployment and scaling of advanced AI systems. The findings underline the importance of data-driven decision-making and the need for organizations to build robust data infrastructure to support their AI initiatives.
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