AI_dev: Open Source GenAI & ML Summit Europe 2025

We’ll explore the benefits of open-source technology, based on our experience of open-sourcing a layer of our proprietary places dataset and geospatial tools like Kepler.gl. We’ll share lessons learned and demonstrate how building and maintaining an accurate global Points of Interest (POI) database is a mission critical layer to advanced Spatial Computing. This is critical for technologies like autonomous vehicles, augmented reality, and mapping systems that require precise, context-aware location data for seamless user experiences.

The term “Sovereign AI" has sparked discussion around the future of AI and the role of open source in this trend. Cities, nation-states, and private and public organizations are interested in “sovereign" AI infrastructure as a way to build localized, relevant, and privacy-preserving solutions. LF Research, LF AI & Data, and Futurewei have partnered on a research study to explore this phenomenon, its motivations, challenges, and implications, and the role of open source in this context. In this session, we will discuss the key findings from the study’s webinar series and industry survey, reviewing the insights captured from technology leaders, practitioners, and decision-makers across companies, government agencies, and institutions actively working with AI. The panelists will present study results showing how and why organizations are implementing Responsible AI across different regions, standards and protocols needed to connect sovereign AI systems, and practical ways open source technologies are helping bridge separate AI ecosystems. We will also share concrete evidence on how organizations balance technological sovereignty with ongoing global collaboration.

When faced with a difficult challenge sometimes it helps to look back at lessons from ancient history to guide your thinking. The Open Source Initiative (OSI) is working to create a definition for Open Source AI (OSAID), aiming to apply open source principles to artificial intelligence development, but clearly the 1.0 version is a work-in-progress. Can it find success? How may policy-makers react? Join this session to hear about the latest efforts to define open source AI and what's likely in store for 2025.

CI/CD pipelines are stuck in the past - static, fragile, and demanding constant upkeep. But what if your pipeline could think for itself? Imagine a system that diagnoses failures, suggests fixes, and continuously evolves with your codebase!