Summary
This document is an assessment checklist and implementation worksheet designed to assist organizations in establishing a robust data foundation for artificial intelligence (AI) initiatives. It emphasizes the importance of data quality, standardization, accessibility, and organizational readiness as critical components for successful AI adoption. The document outlines a three-part structure, beginning with a data maturity assessment that evaluates current data practices and identifies areas for improvement. It then provides an AI implementation worksheet to help organizations analyze their current state on the AI maturity spectrum and plan for necessary data connections. Additionally, it includes a technical consideration checklist that addresses data collection, integration, and AI model deployment. The document concludes with key takeaways that stress the need for prioritizing data foundation, focusing on incremental improvements, ensuring organizational alignment, and preparing for distributed AI capabilities. This structured approach aims to guide organizations toward becoming AI-ready.
