• It’s not your AI that’s failing • It’s your data If your AI keeps missing the mark, it’s probably not the model - it’s messy data, weak governance and drift quietly killing results • What do baseball’s Mario Mendoza and AI have in common • Mendoza’s batting average established the Mendoza Line: shorthand for barely acceptable performance • Across industries,four out of five AI initiativesstill fall short of expectations • In all likelihood, it’s typically not the AI that’s failing, but the lack of data readiness

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  • If your AI keeps missing the mark, it’s probably not the model - it’s messy data, weak governance and drift quietly killing results. Credit: Perla de los Santos What do baseball’s Mario Mendoza and AI have in common? A 20% success rate. Mendoza’s batting average established the Mendoza Line: shorthand for barely acceptable performance. Across industries, four out of five AI initiatives still fall short of expectations. In all likelihood, it’s typically not the AI that’s failing, but the lack of data readiness. Companies rush to embark on ambitious AI-driven transformation projects in search of

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