This ebook focuses on the growing importance of unstructured data—such as documents, images, audio, and text—for generative AI and AI agents. It explains why most enterprise data remains unstructured and how this limits AI potential if not properly prepared. The ebook outlines strategies for ingesting, organizing, and governing unstructured data to make it AI-ready, including metadata enrichment, vector search, and retrieval-augmented generation (RAG). It also discusses challenges related to accuracy, security, and scalability when deploying AI on unstructured data. Practical examples show how organizations can unlock new insights, automate workflows, and improve decision-making by operationalizing unstructured data.

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