IMPORTANT PLEASE RSVP HERE: https://luma.com/kfq9z1jy
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Registrations: 5:30 PM - 6:15 PM (food & drinks are taken care of)
Presentations: From 6:15 PM onwards
Please note that all presentations will be in English!
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 actually) - 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 how Iceberg, Kafka, Flink, and Tableflow come together—and what that means in the world of AI.
Expect a practical perspective on building scalable, real-time data architectures that power modern AI use cases.
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.
