QCon AI
QCon AI at Beyond Market Intelligence is a file of 3 stories. The newest of them: “Explore the Future of AI Deployment: Key Topics at QCon AI New York”, “Explore AI in production at QCon New York this December.”, and “From Prompts to Platforms: Building the Infrastructure for Production AI”. QCon AI New York has confirmed 23 sessions that dig into the real mechanics of AI deployment: agent authorization, production guardrails, shared inference infrastructure, and post-deployment evaluation. Registration for QCon AI New York 2026 is open, with the conference set for December 15-16 at The Westin Jersey City Newport. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work… The list below is every QCon AI story on Beyond Market Intelligence, newest first.
Explore the Future of AI Deployment: Key Topics at QCon AI New York
QCon AI New York has confirmed 23 sessions that dig into the real mechanics of AI deployment: agent authorization, production guardrails, shared inference infrastructure, and post-deployment evaluation. That is a refreshingly practical lineup. We talk a lot about building AI, but the hard part is running it responsibly at scale. If you are moving from experimentation to production, this agenda feels like a direct response to the questions we are all asking.
Explore AI in production at QCon New York this December.
Registration for QCon AI New York 2026 is open, with the conference set for December 15-16 at The Westin Jersey City Newport. Six tracks on production AI will be chaired by Eder Ignatowicz, alongside Faye Zhang and Wes Reisz. First sessions land in August, with the full program arriving by November. For teams wrestling with what AI actually demands in practice, this event feels timely.
From Prompts to Platforms: Building the Infrastructure for Production AI
The operational reality of AI agents is finally taking center stage, and QCon AI Boston 2026 is where that conversation sharpens. The focus has shifted from what prompts can do to how we build dependable systems around them. We're talking about serious infrastructure: managing context effectively and wrapping agents in a security harness that keeps them safe in production. This is the unglamorous, essential work of making AI actually usable.