Overview
Optimized AI Conference (OAI) is a practitioner-focused event about architecting agentic AI systems. The 2027 conference is scheduled for March 31 to April 1, 2027, at the Cobb Galleria Centre in Atlanta, Georgia. The event is designed for people building and deploying AI systems, with a focus on practical learning and engineering experience rather than vendor keynotes. The site anticipates more than 1,200 attendees, over 40 speakers, nine workshops, and two days of programming. The 2027 speaker lineup and workshop syllabus are still being curated.
Format and venue
The in-person conference combines talks and sessions with hands-on workshops. The venue is the Cobb Galleria Centre, at 2 Galleria Pkwy SE, Atlanta, GA 30339. The organizers describe it as having spacious rooms and breakout space, with food options nearby and conference-rate hotels within walking distance. Workshop sessions are intended as practical, laptop-based deep dives; the site says workshops include code and slides. A separate free virtual conference is also advertised for September 12, 2026, online. That is a distinct event from the 2027 Atlanta conference.
Program and topics
The 2027 program is not yet published. The event’s stated focus is agentic AI systems, and its 2027 workshops are described as forthcoming. To illustrate the practical scope of previous programming, the site lists OAI 2026 workshop examples, including multi-agent architecture with Google ADK, retrieval for agentic systems, LLM training and inference on GPUs, context engineering with Redis and LangChain, trustworthy agentic AI, and production-ready agent systems. These are presented as prior-edition workshops, not a confirmed 2027 schedule. The previous conference’s recorded talks are available on YouTube, with topics including scalable generative AI in production, open-source agentic architecture, and the agentic enterprise.
Speakers
The 2027 speaker lineup is being curated. The site highlights past speakers as an indication of the conference’s previous standard, including Paige Bailey of Google, Kamelia Aryafar of Netflix, Mike Tamir of Tubi, Carter Abdallah of NVIDIA, Anton Alexander of AWS, Chip Huyen of O’Reilly, and Josh Sutton of Data.world. These are identified as previous speakers, rather than confirmed 2027 participants. The organizers describe their intended community as practitioners and engineers working on production AI.
Passes and attendance
Listed early-bird pass options include a Student Pass for $100, a Silver Pass for $350, and a Gold Pass for $400. The page states that discounts are available until November 1, 2026. Each pass includes access to keynote talks, sessions, and workshops. Student and Silver passes include light refreshments; the Gold Pass includes meals for both days. A valid student ID may be required at check-in. The site also lists free admission for decision-makers and volunteers, a 25% repost discount, and a 30% group discount for three or more attendees using code GROUP30. Specific details and eligibility may depend on registration terms.
The conference is suited to AI practitioners seeking hands-on workshops, technical talks, and discussion of how to build agentic systems for production. Registration and program information are linked from the event website.
