Data to Intelligence: An AI Journey with Elastic × Kaggle

NOTE: Access to this meetup is restricted. Please ensure you register on Luma.

Join us for a unique collaboration between Elastic and Kaggle, where we trace the full AI journey — from raw data to intelligent applications. This session brings together two powerful ecosystems: ​

• Elastic, the platform that turns search, vector data, and machine intelligence into production-ready solutions ​
• Kaggle, the world’s largest community for datasets, notebooks, and experimentation ​You’ll see how data exploration meets real-world deployment, and how GenAI becomes far more capable when paired with strong search and grounding.

​What will you learn? ​

• From Exploration to Production: How Kaggle enables rapid experimentation and Elastic scales those ideas into real applications. ​
• Search Meets Modelling: How semantic search, embeddings, and vector databases amplify model performance. ​
• RAG Done Right: Building retrieval-augmented generation pipelines using Kaggle datasets and Elastic’s search intelligence. ​
• Hands-On AI: Live demos showing how to move from notebooks → insights → intelligent AI experiences. ​
• Community + Collaboration: See how open data + open experimentation accelerate innovation across teams. ​

Venue and Speaker ​
To be announced soon ​

Who Should Join? ​
Perfect for anyone curious about how real AI systems come together — whether you’re: ​

• A beginner exploring datasets, models, or search ​
• A developer or data scientist experimenting with Kaggle notebooks ​
• An engineer building AI-powered features using Elastic ​
• Someone who loves talking about data pipelines, GenAI, and applied AI ​
• A community member eager to meet others building the next wave of intelligent systems ​

Come for the talks and live demos, stay for the community and collaboration. You’ll leave inspired — and ready to start building smarter with GenAI. No prerequisite knowledge required — just curiosity. 🚀

NOTE: Access to this meetup is restricted. Please ensure you register on Luma.