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Details

PLEASE RSVP HERE: https://luma.com/x1h3sb59
**
​Registrations: 5:30 PM - 6:15 PM (food & drinks are taken care of)
The event will also include a networking break between the talks.

​This event is kindly hosted at the offices of our partner, Netlight Consulting.


​Will Martin

AI Evangelist at Dremio & Author of the upcoming AI for Dummies (and actually)
​AI is everywhere — but what does it actually mean in practice?
​Will will give a practical, hype-free walkthrough of modern AI and how it fits into today’s data stack and lakehouse architectures.
​🚀 Topics include:

  • ​What Agentic AI is — and how it differs from LLMs
  • ​How LLMs work under the hood
  • ​Fine-tuning vs RAG vs prompt engineering
  • ​Connecting AI to your data, APIs, and lakehouse with MCP
  • ​Real-world benefits, risks, and implementation considerations

​A clear introduction to how AI really works — and how to use it effectively.

***

## ​Olena Kutsenko

Staff Developer Advocate, Confluent
​Olena will explore what it really takes to move data from Kafka into Apache Iceberg tables reliably and at scale.
​🔍 Topics include:

  • ​Schema evolution & data normalization
  • ​Exactly-once guarantees & late-arriving events
  • ​Partitioning & table maintenance
  • ​Trade-offs between Kafka Connect, Flink pipelines, and custom ingestion approaches

​Using Confluent Tableflow as a practical example, this session focuses on building robust streaming-to-lakehouse architectures — regardless of tooling.

***

## ​Bjarne Schröder

Software Engineer, STACKIT
​We're excited to welcome Bjarne from STACKIT, where he works on Data & AI product offerings.
​Having transitioned from Data Engineering to Software Engineering, Bjarne brings experience from both perspectives of the data ecosystem—first as a user of cloud-native data services and now as someone who helps build and deliver them.
​Passionate about connecting with people and exploring technology, Bjarne enjoys diving into all kinds of nerdy topics in his free time and cycling around his hometown of Cologne, Germany.

***

## ​Andrew Madson

Head of Developer Relations, Fivetran
​Andrew has spent more than a decade leading analytics and ML teams across organizations including J.P. Morgan Chase, MassMutual, and Arizona State University before moving into DevRel and developer community leadership.
​He is:

  • ​Founding Head of DevRel at Fivetran
  • ​Co-author of Apache Polaris: The Definitive Guide
  • ​Speaker, educator, and creator with a 250K+ global audience
  • ​A leading voice in Apache Iceberg, lakehouses, and AI-ready data platforms

​Expect practical insights on modern data infrastructure, developer ecosystems, and building AI-ready architectures.

***

## ​Alex Merced

Head of DevRel at Dremio & O’Reilly Author
​Alex will walk through key ideas from his latest work on Agentic Analytics and building data platforms that actually work for AI.
​🔍 What to expect:

  • ​Why data silos break AI agents
  • ​The role of the lakehouse, federation & semantic layers
  • ​Apache Iceberg, open catalogs & modern architectures
  • ​Why AI agents need context — not just data
  • ​A roadmap toward autonomous, AI-driven analytics

​A sharp, architecture-focused session connecting modern data platforms with the future of AI.

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