Data and AI

Ken Baum reflects on the mentor who changed the course of his career and how patience, curiosity, and sustained investment can help shape the next generation of engineers.

Reflections from Cincy Deliver 2026 on AI, engineering excellence, mentorship, and the human judgment needed to build sustainable software in an evolving industry.

What does it truly mean to be a professional engineer in the age of AI? Explore why mentorship, stewardship, and passing on the craft matter as much as technical expertise.

A recap of key themes from the UC Analytics & AI Summit, including AI readiness, data foundations, governance, and the role people play in creating meaningful, lasting progress.

AI moves quickly, but understanding takes time. The discipline of refining, then returning with a fresh perspective, reveals what speed alone cannot.

Why AI mistakes aren’t the real problem, and how they highlight missing context, helping teams improve documentation, reduce friction, and build more consistent, scalable systems.