Data and AI

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.

Speed alone doesn’t create better software. A closer look at how teams can integrate AI into development workflows while maintaining standards, ownership, and thoughtful decision-making.

What it takes to use AI in development effectively, helping teams avoid hidden tradeoffs, reduce technical debt, and build software that holds up beyond initial delivery.