Data and AI

AI can generate plausible code in seconds, but trust still depends on human judgment. Ingage explores how experienced developers challenge AI output, test assumptions, and own every result.

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.