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 In this episode of The Connected Frontier, we explain that most organizations face a data problem rather than a technology problem when implementing AI. We highlight how inconsistent definitions, fragmented pipelines, and unusable data erode the trust necessary for AI-driven decision-making. To overcome these hurdles, we recommend focusing on making data "fit for purpose" by aligning specific data elements to actual decision points. 

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