Open Source Europe Tour - Paris, France
Please note that all presentations will be in English!
Registrations: 5:30 PM - 6:15 PM (food & drinks are taken care of)
Presentations: From 6:15 PM onwards
AI is everywhere - but what does it actually mean in practice?
Join Will Martin, AI Evangelist, for a clear, practical walkthrough of modern AI - based on his upcoming book AI for Dummies - and how it fits into your data stack and lakehouse.
🚀 In this session:
What Agentic AI really is (and how it differs from LLMs)
How LLMs work under the hood (tokens, embeddings, context)
When to use fine-tuning, RAG, or prompt engineering
How MCP connects AI to your data, APIs, and lakehouse
Key benefits, risks, and real-world considerations
Cut through the hype and understand how AI actually works - and how to use it.
Next up: Gilles Philippart
Software Practice Lead at Confluent, Gilles will explore the realities of streaming data into Apache Iceberg and what it takes to build reliable, production-ready data pipelines.
🚀 In this session:
The key challenges of streaming ingestion into Iceberg tables
Handling schema evolution, upserts, and deletes
Avoiding small file problems and commit contention
Comparing Kafka Connect, Flink's Iceberg sink, and Confluent Tableflow
Practical guidance on choosing the right approach for your architecture
Expect a hands-on, real-world perspective on streaming data into Iceberg, with insights into the trade-offs and operational considerations behind today's most common ingestion patterns.
About Gilles:
A seasoned technology leader with over 20 years of experience, Gilles specializes in microservices and event-driven architecture. He works closely with engineering and product teams to design scalable, high-impact systems that enable faster delivery, stronger alignment, and better data accessibility.
And last but not least: Alex Merced
Head of DevRel and author at O’Reilly, Alex will walk you through key ideas from his latest book on Agentic Analytics- and how to build data platforms that actually work for AI.
🔍 What to expect:
Why data silos break AI agents
How the lakehouse, federation, and semantic layer fit together
The role of Apache Iceberg, open catalogs, and modern architectures
Why agents need context, not just data
A practical roadmap toward autonomous, AI-driven analytics
Expect a sharp, architecture-focused session connecting modern data platforms with the future of AI.