The Big Book of AI-Ready Data explores the critical role of clean, governed, and explainable data in fueling successful AI systems. It outlines key challenges—poor data quality, scalability, integration complexity, privacy compliance, and slow time-to-insight—and shows how organizations can address these through AI-ready practices. Central to this is the use of data catalogs and knowledge graphs to enable efficient discovery, governance, and lineage tracking. Through real-world case studies and actionable checklists, the ebook guides organizations on assessing infrastructure and creating a culture of data fluency for AI success.

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