Open Source Summit + Embedded Linux Conference North America 2026

AI infrastructure is moving faster than any single company can sustainably steward: data formats, vector search, orchestration, inference, evaluation, and agent interoperability all need to evolve in the open to win broad adoption. This panel explores why neutral open source foundations matter for the next decade of AI, and how foundation-backed governance turns promising projects into durable ecosystems.

Topics include how open governance reduces fragmentation and vendor lock-in, why trademarks and clear contribution rules accelerate enterprise adoption, how graduated lifecycle models signal maturity, and how interoperability standards unlock composability across tools and platforms. Panelists will share practical lessons on scaling contributor communities, balancing commercial incentives with community trust, and using foundation structures to create long-term technical roadmaps that outlive any single hype cycle. The audience will leave with concrete patterns for launching, donating, or growing AI projects under a foundation, and for building ecosystems that are both innovative and production-ready.