Data Fabric Journey for AI Implementations

This document is a guide that outlines the stages involved in the data fabric journey, which is essential for successful AI implementations, particularly with Large Language Models (LLMs). It describes how cleaning and organizing data, although not glamorous, is a critical foundation for enabling AI technologies. The guide emphasizes the importance of aligning data fabric with data governance and security requirements when reviewing scopes of work for proofs of concept or SaaS services. It also discusses the need for an established enterprise architecture framework that supports the integration of data fabric and LLMs, facilitating easier maintenance and scalability. The document highlights the role of Infrastructure as Code (IaC) in building the data fabric, allowing for secure, repeatable, and predictable infrastructure changes. Overall, the guide stresses that addressing the data fabric journey is crucial for the effective deployment of AI solutions.