The eBook Data Cleaning Best Practices for Enterprise AI Success highlights how poor data quality undermines AI and GenAI initiatives, stressing that data must be properly scoped, maintained, and structured to ensure secure, relevant, and accurate experiences. It recommends creating inventories and audits to identify outdated or duplicate content, prioritizing concise, conversational documents, and removing boilerplate noise for clarity. Best practices include chunking content into logical units, optimizing metadata and keywords to match user intent, segmenting delivery by audience, and maintaining feedback loops. For generative experiences, it emphasizes high-quality content, clear disclaimers, toggle options, and tracking content use to avoid misinformation.

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