Any future-ready AI strategy must be flexible, meaning it is able to absorb tomorrow what we don’t fully grasp today. Your strategy should also offer immediate value to the organization beyond specific AI-driven workloads because the nature and value of these workloads will remain unclear for some time. For example, “data readiness” is indispensable to your AI strategy because it is likely to yield better AI workloads in the future, and because it offers real value in terms of security, accuracy, discoverability, and analytical integrity separate and apart from AI today