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Presentation: What 25 Trillion Tokens Reveal About How Developers Actually Adopt AI Agents

Brendan O'Leary discusses how real-world AI adoption depends on building trust rather than chasing model benchmarks. Drawing from 40 trillion tokens…

Code ReviewsAgentsQCon AI Boston 2026Context EngineeringAI CodingTranscriptsAdoptionAgentic AI ArchitectureAI, ML & Data EngineeringDevelopmentArchitecture & Designpresentation
InfoQ Oct 15, 2026, 11:00 UTC
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Presentation: Adaptive Recommenders in the Real World: Inference, Evals, and System Design

Mallika Rao explains that the true complexity of adaptive recommendation systems lies outside model architecture. She discusses how real-time feedba…

ScalingDataPerformanceQCon AI Boston 2026ObservabilityTranscriptsMachine LearningAI, ML & Data EngineeringDevelopmentArchitecture & Designpresentation
InfoQ Sep 26, 2026, 11:00 UTC
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Presentation: From Retrieval to Reasoning: Building Production-Ready Agentic AI Systems with Knowledge Graphs

Cassie Shum discusses why knowledge graphs serve as a critical foundation for agentic systems. Moving beyond basic RAG, she explains 4 practical arc…

Large language modelsTranscriptsAgentsAgentic AI ArchitectureRetrieval-Augmented GenerationQCon AI Boston 2026Architecture & DesignDevelopmentAI, ML & Data Engineeringpresentation
InfoQ Sep 12, 2026, 11:00 UTC
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Presentation: A Few Predicted Talks From QConAI 2030

Meryem Arik discusses her predictions for software engineering in 2030. She explains how token spend management, parallel agent infrastructure, and…

PatternsAgentsQCon AI Boston 2026RegulationGovernanceTechnology TrendsTranscriptsInfrastructureProductivityAI ArchitectureArchitecture & DesignDevelopmentAI, ML & Data Engineeringpresentation
InfoQ Sep 5, 2026, 11:00 UTC

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