Data readiness is how well a business's data is prepared for use in AI: available, accurate, complete, well-organised and accessible. Because AI systems learn from and run on data, poor data leads to poor results no matter how good the model is. Assessing and improving data readiness is often the essential first step before any serious AI project.
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