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Data for Breakfast Paris

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About this event

What to expect

Join Data for Breakfast Paris, Snowflake's flagship data and AI breakfast event designed for French-speaking data and AI leaders ready to transform enterprise intelligence. Held on 14 April 2026 at Les jardins de Saint-Dominique in Paris, this exclusive gathering brings together architects, engineers, and data leaders to explore how organizations are deploying governed, production-ready AI at scale.

Why Attend

This event bridges the gap between foundational data architecture and cutting-edge AI innovation. Whether you're building your first Snowflake implementation or scaling advanced use cases, you'll gain actionable insights to align your data and AI strategies with concrete business outcomes. The morning combines keynotes, live demos, customer case studies, and peer networking—all focused on practical implementation rather than theory.

Featured Sessions

Salomon's AI Journey: Nicolas Bélie (Head of Data Platform) and Cyrille Faverge (Product Owner AI/ML) share their hands-on experience launching a Snowflake Intelligence proof-of-concept across commercial performance, inventory management, and e-commerce. Learn how their teams connected data sources, secured access controls, and enabled business users to interact directly with insights—all within weeks.

Real-World AI Implementation Panel: Hear from Blandine Mevanza (LFB), Christophe Vaudable (Accor), and Michael Kuentz (KPC) as they discuss their organizations' Snowflake Intelligence journeys—from exploration to industrialization. Discover what worked, what challenged their approaches, and key lessons for faster, higher-impact deployment.

Enterprise Data Agents Deep-Dive: Explore how AI agents, data automation, and Snowflake Intelligence combine to deliver enterprise-wide value. This technical session demonstrates how to build and deploy production-ready agents that integrate with existing workflows.

Who Should Attend

  • Data architects and engineers building foundational Snowflake platforms
  • Data and AI leaders already using Snowflake who want to industrialize new use cases and optimize performance
  • Technical decision-makers evaluating open, interoperable data architectures

Topics Covered

  • Data agents, AI, and Snowflake Intelligence
  • Snowflake migration strategies
  • Open and interoperable architectures
  • Data engineering and pipeline optimization
  • Governance best practices and cost optimization
  • Real-world c

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