Dev Day Virtual: EMEA

JUNE 25

Don't wait for the future—build it.

EMEA | VIRTUAL9:00 BST / 10:00 CEST

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HERE’S WHY YOU DON’T WANT TO MISS IT

Hear from ai pioneers,

Don’t miss this chance to skill up with AI, advance your career, and get inspiration from industry speakers. Our virtual Dev Day allows thousands of AI & ML engineers, data scientists, data engineers, analysts and developers to experience a taste of what happens at the one-day event in San Francisco each year.

Four luminary talks will be recordings from this year's event, being held on June 4th, and chosen for their insights into AI. We'll finish off with a hands-on lab where you'll get the chance to earn a custom badge to share on your social networks.

AGENDA

5 min

Dev Day Opening

Join us as Snowflake CEO Sridhar Ramaswamy delivers the opening remarks.

20 min

The Road Ahead for AI

A candid conversation between Snowflake CEO Sridhar Ramaswamy and Peter Steinberger, the creator of the viral open source project OpenClaw.

5 min

Interview Break

Hear from local chapter leaders and Snowflake Data Superheroes as they share takeaways and insights how developers across Europe are experimenting with AI in real-world projects.

20 min

From Prompts to Pipelines: The Rise of the Agentic Harness

For the last two years, the developer community has been obsessed with "prompt engineering." But as AI scales into production enterprise systems, the prompt is now only 10% of the work. The remaining 90% is the Harness—the engineering pipelines, tool orchestrations, and execution sandboxes that allow an agent to take multi-step autonomous action. In this luminary talk, Romain explores why the next generation of builders must pivot from "prompting" to "agentX (agent experience) engineering." Drawing on his front-row view of world-class agent deployments, he will provide a high-level architectural overview of the Agentic Harness, touching on the critical shift toward persistent memory, secure execution environments, and automated evaluation loops. Attendees will walk away with a high level blueprint for transitioning from building fragile chatbots to architecting robust, enterprise-grade agentic pipelines.

20 min

When Agents are Your Users: Architecting the New Application Layer

AI agents are the new end-users. In this luminary talk, Vercel CTO Malte Ubl will break down the new application layer—where autonomous agents are rapidly becoming the primary consumers of your code. Malte will share a builder-focused framework for the agent archetypes working in production today. Learn to architect systems that compress research pipelines, query fragmented data, and automate boilerplate workflows. What happens to your APIs and UIs when they are used by agents rather than humans? Join us to learn how to adapt your stack for the Agentic Era and transition from writing static syntax to orchestrating systems.

5 min

Interview Break

Hear from local chapter leaders and Snowflake Data Superheroes as they share takeaways and insights how developers across Europe are experimenting with AI in real-world projects.

20 min

Paving the Roads for Agents: Rebuilding Infrastructure for the Autonomous Era

Dropping an autonomous AI agent into a traditional software pipeline is like putting a sports car on a dirt road—it will inevitably break down. Today's enterprise tech stacks were built exclusively for human engineers. So, what happens when your most active code contributors become machines? In this session, Factory CTO & Co-Founder, Eno Reyes explores the fundamental infrastructure shift required to support an autonomous engineering workforce. Moving beyond simple code generation, Reyes will discuss the industry-wide necessity of "paving the roads" for agentic systems. He will illustrate how the entire Software Development Life Cycle (SDLC) must evolve, offering builders a practical framework for transitioning to agent-native environments. Attendees will learn how to establish the deterministic guardrails, AI-readable APIs, and robust data foundations necessary for autonomous systems to build, test, and deploy at full speed.

90 min

Hands-On Lab: From Raw Data to AI Agent in 90 Minutes with Cortex Code

Build a complete AI retail app entirely in Snowflake. Start by using Cortex Code to generate SQL and dbt models for metrics such as CLV. Next, train a GPU-accelerated XGBoost model in Snowflake Notebooks, register it, and deploy it as a service. To handle OLTP, use Snowflake Postgres and sync data to Apache Iceberg on S3, demonstrating lakehouse interoperability with pg_lake. Finally, unify the stack with Snowflake Intelligence, a conversational interface orchestrating Snowflake Cortex Analyst, Snowflake Cortex Search and your ML models for a seamless analytical experience.