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Detalles

IMPORTANT PLEASE RSVP HERE: https://luma.com/ndde49i7

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Registration / Networking: 5:30 pm - 6:15pm (Drinks and food are taken care of)

​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: Olena Kutsenko
​Staff Developer Advocate at Confluent, Olena 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 Olena:
Staff Developer Advocate at Confluent, with previous experience at Aiven and AWS, bringing strong expertise in data streaming and modern data platforms.

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.

Temas relacionados

Apache Kafka
Big Data
Open Source

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