✉news TechnologySoftware first seen 14 h ago, last 37 min ago, peak #3
QCon AI New York 2026 highlights agent identity and context costs
Original: QCon AI New York 2026 Program Committee Picks: Agent Identity, Context Costs, and Open-Source Infere
The program committee for QCon AI New York 2026 has announced its top picks, spotlighting three themes: identity and security for AI agents, the rising compute and token costs of managing context in large models, and the growth of open-source inference infrastructure. The selections signal what conference organizers expect to dominate enterprise AI engineering discussions in the coming year, with agent security and inference economics seen as the most pressing topics for practitioners building production AI systems.
Why now: Conference agenda picks are seen as a signal of the most important emerging topics in enterprise AI engineering.
Rank over time, top of the chart is #1. 2 snapshots from 1 h ago to 37 min ago.
Evidence
- QCon AI New York 2026 Program Committee Picks: Agent Identity, Context Costs, and Open-Source Infere · infoq.com
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