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

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

Hosted by Open Source Analytics Community & Altinity Inc
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About Event

What is OSA Con?

OSA Con is a community-driven conference for engineers and architects building modern analytics and AI systems. Organized by the Open Source Analytics (OSA) community, the conference brings together practitioners, project maintainers, and data leaders to share real-world architectures, lessons from production systems, and updates on the open-source tools powering today’s analytics and AI platforms.

Description of OSA Con 2026:

2026 is the year that agentic AI finally works, and the results are transforming open source analytics. At OSA Con 2026, engineers, architects, and builders get real about the convergence of open source tech and AI models. We’re exploring how AI workloads affect data management, how agents help build analytic platforms, and how analytic data feeds back into autonomous agent actions. But we’re more than AI hypesters. We’re tracking on-going trends in real-time analytics, shared data lakes, and innovative new applications built on open source. No vendor pitches or 10x AI miracles. Just deep technical talks from great engineers building stuff that works.

Speakers

Coming soon!

What to Expect

  • A full day of in-depth technical sessions and real-world architecture discussions

  • Talks from engineers building and running analytics platforms in production

  • Exploration of new AI-driven analytics use cases and broader advances in data technology

  • Practical evaluations of AI models and agent-based tooling in analytics workflows

  • Roadmap updates from maintainers of key open-source analytics projects

  • Guidance on building scalable, efficient, and cost-aware data systems

  • Opportunities to connect with engineers, architects, and open-source contributors

Who Should Attend

  • Data engineers and analytics engineers

  • Platform engineers working on data infrastructure

  • Architects and technical decision-makers designing analytics systems

  • Anyone interested in the intersection of analytics, AI, and modern data platforms