A Day at a Data Conference

The chapter follows the speaker's busy day as a track host, speaker, and moderator at a data conference, recounting interactions with attendees and reflecting on the various topics covered. The discussion delves into data engineering topics like data fusion, orchestration, and lineage, as well as the speakers' preference for focusing on data over AI. The chapter captures candid conversations on metadata layers for AI, challenges in evaluating models, and the blend of technical discussions with everyday experiences at the conference.