QCon AI New York 2025 | December 16-17 | New York

Build Software Faster with AI—From Code to Production
 
AI is shifting from pilot projects to powering production systems. But most teams lack practical guidance on integrating AI to meaningfully accelerate their development lifecycle while ensuring reliability and scale.
 
QCon AI New York 2025—a conference from the creators of QCon—focuses on the real-world adoption of AI in software development. Taking place December 16-17, 2025 in New York City, this event is designed for senior developers, architects, and engineering leaders looking to move beyond experimentation and adopt AI that works.
 
QCon AI New York is a trusted, hype-free space to learn what's actually working—directly from the engineers building and scaling AI systems inside real organizations. Every session is curated by practitioners who share proven patterns, responsible governance practices, and hard-won lessons (including failures).
 
What you'll learn:
- MLOps strategies to streamline AI delivery and ensure production readiness
- Architecting AI systems for reliable scaling and faster iteration
- Optimizing costs while accelerating AI value delivery
- Improving cross-functional collaboration for faster AI integration
- How to reduce friction, improve velocity, and govern AI responsibly
- Applying AI to accelerate coding, testing, and deployment
 
As Wes Reisz, QCon AI 2025 Chair, Technical Principal @ Equal Experts, and InfoQ Podcast Co-host, puts it:
“Forget the AI hype. QCon AI is focused on helping you build and scale AI reliably. The teams speaking at QCon AI share how they are delivering and scaling AI—warts and all.”
 
Why attend QCon AI?
- Get proven patterns—not theory
- Cut through the noise and avoid costly missteps
- Accelerate your SDLC with AI that works
- Learn from engineers solving these problems in production
- Bring your team and align on a shared, responsible AI strategy
 
AI implementation is a collaborative effort. From platform to MLOps to data teams, QCon AI is structured to support shared learning and better cross-functional execution.
 
Seats are limited. Join us in NYC to learn what's working now and take your AI strategy from prototype to production.