Data Readiness Checklist for Generative AI

This guide outlines the essential steps for establishing a robust data foundation necessary for generative AI applications. It emphasizes that a successful AI strategy begins with high-quality data integration practices to ensure accurate and timely results. The document details a six-step process for organizations to prepare their data for generative AI. The first step involves understanding the specific problems to be solved, followed by identifying and inventorying data sources, assessing data quality, and documenting access and usage. The guide further discusses the importance of integrating data into a central repository and designing retrieval models that enhance the AI's output accuracy. It concludes by stressing the need for continuous iteration and refinement of models to maintain reliability and safeguard sensitive information. By aligning data initiatives with business strategies and integrating diverse data sources, organizations can unlock significant efficiencies and business value through generative AI.