
QCon AI Boston is the enterprise AI conference designed specifically for senior developers, architects, and engineering leaders scaling reliable, production-grade AI systems. The conference goes beyond the hype to provide practical insights from teams who have successfully implemented AI across the entire software lifecycle.
The event focuses on real-world challenges of integrating AI into complex enterprise environments. Attendees learn how to accelerate their software development lifecycle using AI, architect systems for scale and resilience, and master constraints around compliance, security, and cost management. Sessions cover topics from MLOps and observability to AI agent tool selection and production-ready agentic systems.
Speakers include senior practitioners from Netflix, Apple, DoorDash, Zoox, and other leading tech companies who share unfiltered lessons from their successes and failures. The conference features 36+ peer-curated sessions that provide actionable frameworks and proven playbooks that can be adapted to different organizational contexts.
QCon AI is structured to bring together different roles across AI teams including engineering leaders who need to align strategy and investment, architects designing scalable AI systems, staff engineers integrating ML pipelines into production stacks, and ML/MLOps engineers building for reliability and efficient operations.
The conference takes place at Boston University’s George Sherman Union, creating an environment built for deep, practical conversations. Attendees can pressure-test designs, validate roadmaps, and connect with peers who are building and scaling production-ready AI systems. The event is organized by InfoQ and QCon, which have been guiding software teams through technology shifts for over 20 years.