Data Basecamp: The Impact of AI on data engineering

Everyone has an opinion about what AI is doing to data engineering and on the 1st of October we'll discuss what actually made it into production and what hasn't. Three engineers will talk about successful and less successful AI initiatives they've experienced recently. Data Basecamp is a gathering for people who work with data hands on. Data engineers, analytics engineers, platform teams, ML folks. Sessions Session 1: Ben Rogojan @ SeattleDataGuy Session 2: Evergreen Governance: Data Strategy That Grows With AI Nathan Erbe, Senior Data Leader + Advisor, Denver Data governance is often treated as a compliance checkbox - necessary, but static. This session makes the case that governance is actually evergreen: the same core discipline (classification, access control, quality, monitoring) that's always mattered now has to extend into a new surface area: LLM pipelines, agentic query layers, and model outputs that drive real decisions. Drawing on real-world healthcare AI implementations, from a claims-based ML model that triggers patient outreach to an LLM pipeline that ingests sensitive physician contracts, this talk offers a practical framework (Classify > Control > Monitor > Adapt) for extending governance into AI without starting from scratch. Attendees will leave with concrete next steps they can apply to their own data and AI initiatives this quarter. Session 3: Dan D'Orazio, Principal Data Engineer @ Kin Insurance Schedule 5:30 Doors, food and drinks6:00 Talks begin7:00 Open networking8:00 Close