As teams move AI from pilots to production, the hard problems shift from demos to dependability. The first confirmed talks for QCon AI Boston (June 1–2) focus on context engineering, agent explainability, reasoning beyond basic RAG, evaluation, governance, and platform infrastructure needed to run AI reliably under real-world constraints. By Artenisa Chatziou
