Data Science Wire

QCon AI New York 2026 Program Committee Picks: Agent Identity, Context Costs, and Open-Source Infere

InfoQ AI, ML and Data Engineering3d4 min read

Who authorizes an agent’s actions, and how should teams manage growing context costs? The QCon AI New York 2026 program committee shares six session picks that tackle these questions, alongside open-source inference, agent standards, and audio AI. By Artenisa Chatziou

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