AI commentary is infinite; AI insight is scarce, because insight requires standing somewhere: teaching the material, running the deployments, doing the research. Everything published here is written from that standing, by faculty whose names and credentials are on it, which is both a quality bar and an accountability mechanism.
What gets published here
Practical analysis: what capability shifts, platform moves, and market developments actually mean for operators, filtered by people advising real organizations through them.
Research translation: findings from the academic frontier, including our own faculty's work, rendered into decisions; the research and white papers library holds the deeper artifacts.
Field notes: lessons from live deployments and teaching, what worked, what surprised, what the case studies do not capture.
Reference resources: durable assets like the AI glossary, maintained as the field's vocabulary mutates.
Where else does the faculty publish?
The podcast for conversations, the YouTube channel for visual depth, and press coverage collected on the media page. The single best way to keep up: the weekly newsletter, where new insights land first.