🤖QCon AI New York 2026 Confirms 23 Sessions on AI Systems
AI engineering is now systems engineering
TL;DR
QCon AI New York 2026 confirms 23 out of 30 sessions focusing on AI systems reliability and economics. Key topics include identity, authorization, and inference platforms. Early bird pricing ends Oct 13.
QCon AI New York 2026 has confirmed 23 out of 30 sessions focusing on the evolving landscape of AI systems engineering. This year's program dives deep into the challenges of making AI systems reliable, observable, and economical to operate. Key topics include identity and authorization for autonomous agents, guardrails for operations agents, and shared model-serving platforms. The conference will also cover the evaluation of AI decision systems after deployment, reflecting a broader shift in AI engineering from model behavior to system behavior. With sessions on inference economics, latency, token usage, and cost, the program is a must-attend for senior engineers, architects, and technical leaders working on AI systems in production. Early bird pricing ends October 13.
Key Points
QCon AI New York 2026 confirms 23 out of 30 sessions, focusing on AI systems engineering.
Key topics include identity and authorization for autonomous agents, guardrails for operations agents, and shared model-serving platforms.
The conference will cover inference economics, latency, token usage, model routing, and cost, reflecting a shift in AI engineering.
The program is a must-attend for senior engineers, architects, and technical leaders working on AI systems in production.
Early bird pricing ends October 13, 2023, for the December 15-16, 2026 conference.
Why It Matters
If you're a senior engineer working on AI systems in production, the QCon AI New York 2026 program is a must-attend. Topics like identity and authorization for autonomous agents, and shared model-serving platforms, will directly impact your system's reliability and economics. Early bird pricing ends Oct 13.
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