AI and Machine Learning Readiness Checklist

This document is a checklist designed to assess an organization's readiness for implementing Artificial Intelligence (AI) and Machine Learning (ML). It outlines several critical factors that need to be in place to ensure that the data governance, quality, and management are adequate for trustworthy application outputs. The checklist includes items related to data validation, governance, availability, and profiling, as well as the identification of data stewards and subject matter experts. It also addresses the scalability of data infrastructure, the observability of data throughout its lifecycle, and the implementation of access controls. Furthermore, it emphasizes the importance of a data-driven culture, ethical considerations in AI usage, and the need for collaboration across departments. The document serves as a comprehensive guide for organizations to evaluate their current capabilities and readiness to harness AI and ML effectively.