If you think AI and analytics are better apart, you may be missing out on some valuable opportunities. I was shocked recently while gathering background information for a short e-book I co-authored with Ellen Friedman, AI and Analytics at Scale: Lessons from Real-World Production Systems, to find that some people still think large-scale analytics projects and AI projects should be siloed and segregated. In particular, these people think of AI systems as very expensive, very specialized, separate systems, that must be completely isolated from analytics systems. My take is just the opposite. For years we've observed real-world enterprises across many sectors that benefit by co-locating analytics – even legacy analytics – together with modern AI and machine learning projects.