Organizations launch promising AI pilots but too few of them scale successfully. AI at enterprise scale requires your AI-ready enterprise data. Unified, secure and governed data access is a critical element of a reliable data foundation.

Read this guide to learn why the path to AI-ready data often starts with effective access to both structured and unstructured data and the challenges that can impede data leaders. Those barriers can include the volume and complexity of data, the data silos that can result, the unique challenges of unstructured data, and the limitations of Conventional Retrieval-Augmented Generation (RAG).

Most importantly this guide provides a framework to help organizations unify and access its structured and unstructured data. It includes guiding principles that are foundational in making your data accessible and AI-ready. It also explores how to overcome limitations of conventional RAG, the value of a data lakehouse architecture with extended data fabric capabilities, and the importance of hybrid capabilities and an open approach in your data management strategy.