OSA Con 2026 - The Anti-Hype Conference for Open Source Analytics and AI

For in-person attendees: ​Because this event takes place in the AWS builders loft, please also register: events.builder.aws.com/ReRbol All guests must be 18+ and present a valid government-issued physical photo ID at check-in (digital IDs will not be accepted). Scooters and bikes are not permitted in any Amazon building with no on-site parking available. Description: 2026 is the year agentic AI finally works, and it’s changing open source analytics. OSA Con 2026 brings together engineers, architects, and builders working at the intersection of open source data infrastructure and AI. No vendor pitches or 10x AI miracles. Just deep technical talks from great engineers building stuff that works. We’ll get into AI workloads and data management, agents building and operating analytic platforms, and analytics powering autonomous actions, alongside what’s happening in real-time analytics, shared data lakes, and emerging open-source architectures. 📍 Nov 2 · AWS Builder Loft, San Francisco + Online · [Free to attend / Limited in-person capacity] Speakers See their abstracts at osacon.io Lisa Cao — DatabricksGetting AI agents to write better Apache Spark pipelinesWei-Chin Call — Grafana LabsBenchmarking AI agents that debug your dashboardsJason “Jay” Smith — GoogleServerless eventing for simpler, scalable AI data pipelinesAditi Pandit — IBMInside the Presto C++ engine: production experience, performance & the 2026 roadmapAlex Merced — DremioBuilding the Open Agentic Lakehouse for data + AIHeather Meeker, Roman Shaposhnik (Panel discussion)Whose Code Is It Anyway? AI-generated code, ownership & open-source licensingDavid Morrison — Applied Computing Research Labs10 infrastructure dashboards you can’t build with GrafanaPatrick McFadin — McFadin Data & AI AdvisoryWhy we’re still paying rent on our own data—and where lock-in is movingFelicitas Pojtinger — Loophole LabsBuilding legacy-free RISC-V Kubernetes clusters with ClickHouse®Matthew Topol — Columnar / Apache Software FoundationWhat it really takes to run ADBC in productionBrandon Wilcox — GamebeastBuilding AI-powered LiveOps and analytics for gamingMax Beauchemin - PresetFrom Data Modeling to Agent ModelingRobert Hodges - AltinityHow AI Is Changing Database Architecture: It's Not What You Think What to Expect Deep technical sessions from engineers building and running analytics platforms in productionAI agents, model evaluation, real-time analytics, data lakes, and modern open-source infrastructureArchitecture, performance, scalability, reliability, and cost—without the vendor pitchesMeet engineers, architects, maintainers, and open-source contributors building the next generation of data systems Who Should Attend Data engineers and analytics engineersPlatform engineers working on data infrastructureArchitects and technical decision-makers designing analytics systemsAnyone interested in the intersection of analytics, AI, and modern data platforms