QCon conferences have been a trusted forum for senior software practitioners to share real-world knowledge and navigate technology shifts for nearly two decades. Today, as artificial intelligence adoption transitions from experimental phases to running within critical enterprise systems, InfoQ and QCon are introducing QCon AI, a new conference dedicated to the practical challenges of building, deploying, and scaling AI reliably. The inaugural event will take place in New York City on December 16-17, 2025.
This conference is designed specifically for senior software developers, architects, and engineering leaders – the practitioners tasked with making AI work securely, reliably, and effectively within complex enterprise environments. Recognizing that the landscape is filled with hype, QCon AI focuses squarely on what’s working now. The program, curated by senior engineers actively running AI systems at scale, prioritizes actionable patterns and blueprints over theoretical possibilities.
QCon AI builds directly on the QCon legacy of facilitating peer-to-peer learning without hidden product pitches. As QCon AI 2025 Conference Chair, Wes Reisz, Technical Principal @ Equal Experts, ex-VMWare, ex-ThoughtWorks,16-time QCon Chair, and InfoQ Podcast Co-host emphasizes.
“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”.
Attendees can expect deep dives into the practicalities of integrating AI into the software development lifecycle, architecting resilient and observable production AI systems, managing MLOps, optimizing costs, ensuring responsible governance, and proving business value. We believe it’s crucial to share hard-won lessons – including failures – from those who have navigated these challenges.
A key theme for QCon AI is the collaborative nature of successful AI implementation. Scaling AI isn’t a solo task; it requires alignment across multiple departments, including development, MLOps, platform, infrastructure, and data teams. QCon AI is structured to benefit teams attending together. Shared learning experiences can accelerate the adoption of effective patterns, foster better cross-functional understanding, reduce integration risks, and help align team members, from Staff+ engineers and architects to ML engineers and engineering leaders, on strategy and execution.
By bringing together experienced practitioners to share what truly works in enterprise AI, QCon AI aims to equip engineering teams with the confidence and knowledge needed to move from prototype to production successfully.
More information about QCon AI, including program details as they become available, can be found on the conference website.
