F. Hoffmann-La Roche is the world’s leading provider of cancer treatments, biotech company, 4th largest pharmaceutical company and currently Europe’s 3rd largest company by market cap.

This session will explore Roche’s Snowflake environment, Approach to Data Mesh incl. Object tagging as mandatory Data Governance, Cortex AI incl. MCP Server, Data Observability supporting Data Mesh incl. Use Case deep dive & success stories, and Roadmap with Pharma Technical Domain.

More information coming soon. 

Building and managing data transformation pipelines can be complex and costly. In this session, discover best practices for creating scalable, cost-efficient pipelines--and let your team can focus on insights, not maintenance.

Discover how Ericsson leverages QPR Process Mining on Snowflake to strengthen trade compliance and detect anomalies with speed and accuracy. In this session, Ericsson leaders and QPR experts will share how they built an advanced, data-driven compliance framework that improves efficiency, reduces risks, and unlocks new business value.

Learn how to streamline governance and security for data and AI with Snowflake's latest updates to Horizon Catalog. Join us for new product overviews and live demos covering interoperability, Trust Center, MFA updates, Copilot for Horizon Catalog, sensitive data, data quality, lineage, and more.

In this session we will introduce Snowflake’s latest developer tools for secure authentication, Git integration, collaborative notebooks, code workspaces, unified data engineering, and workflow automation - all aimed at streamlining product development and deployment.

We will also demonstrate how Snowflake enables engineers to query, aggregate, and extract insights from structured and unstructured data—including sales, support transcripts, and images—using AISQL functions and Cortex AI models. The demo highlights Snowflake Intelligence’s Data Agents, which let you interact with multimodal data sources and external apps, generate visualizations, and produce direct answers via natural language.

More information coming soon

More information coming soon

Join us for an exclusive behind-the-scenes look at how Widerøe, Norway’s largest regional airline, built a modern data platform from the ground up.

With Capgemini as a strategic partner, Widerøe embarked on a bold journey, navigating tough technology choices, including the pivotal decision to adopt Snowflake as the foundation for their data-driven future.

In this session, you’ll hear the real story:

• How a clear strategy and roadmap enabled Widerøe to transform their data landscape

• Why Snowflake was chosen, and how it’s delivered on its promise

• What worked, what challenged them, and how obstacles were overcome

• The measurable business outcomes achieved so far

• Widerøe’s vision for the future and the next steps in their data journey

This is more than a technical case study, it’s a candid sharing of lessons learned, practical insights, and proven strategies that any organization can apply.

Whether you’re just starting your data platform journey or looking to accelerate your results, this presentation will inspire you to think bigger and act smarter.

Don’t miss the chance to learn from Widerøe’s experience and discover how your company can unlock new value from data!

Discover how customers improved Snowflake consumption efficiency, accelerated time-to-market for new use cases, and enabled their organization with data-driven decision-making. In this session, we will walk through actionable insights on crafting a FinOps strategy to align cost efficiency with business goals, Building capabilities across the Visibility, Control, and Optimize phases of the FinOps framework, empowering people and processes for cost governance and operational excellence and leveraging Snowflake-native tools and third-party solutions for optimization.

Excited to try out cutting-edge Snowflake features, but don’t have the time to do it? Join us to learn how you can create and automate anything in Snowflake with just a few clicks – no coding required.

Find out how you can take advantage of your favorite capabilities like Snowflake Cortex, Iceberg Tables and more in your next data project, while creating more time in your day for innovation. This lab offers a crash course in how to build data pipelines in minutes with Coalesce’s data transformation platform.

You’ll learn how to:

•Speed up development by 10x with ready-made templates for common data transformations •Accelerate AI- and ML-focused innovation by operationalizing Snowflake Cortex in your data pipelines •Simplify the process of using Dynamic Tables, Streams & Tasks, Materialized Views, Snowflake external data loading with Snowpark, and more For the best experience, please sign up for a Snowflake trial account before the event. Once you’ve activated your Snowflake account, create a Coalesce trial account via Snowflake’s Partner Connect portal. 

Learn how to accelerate and automate migrations with SnowConvert AI, featuring data ecosystem migration agents powered by Snowflake Cortex AI. SnowConvert AI is your free, automated solution designed to dramatically reduce the complexities, costs, and timelines associated with data warehouse and BI migrations. It intelligently analyzes your existing code, automating code conversion, data validation, and streamlining the entire migration process.

Master AI-powered analytics in Snowflake. Learn how to leverage Snowflake's powerful AI SQL functions for advanced analytics on unstructured, time-series, and geospatial data. We'll also demonstrate how to use Semantic Views to bridge the gap between data and business understanding.

More information coming soon

Evoke, the leading betting and gaming company behind brands like William Hill, 888, Mr Green and Winner, has unified its data with Tealium and Snowflake to power product analytics, AI, and real-time insights. Discover how this transformation drives speed, compliance, and personalized customer experiences—and what’s next on their data journey.

Executives don’t just ask what happened- they want to know why. Answering those questions quickly and consistently is where AI often falls short.

This workshop will show you how to teach AI to answer “why” by grounding it in a semantic layer. You’ll learn:

•What a semantic layer is and how it enables consistent answers •How to model relationships and metrics for clarity and trust •How to leverage semantic views on Snowflake •How to enable AI using Cortex to provide reliable, self-serve analytics •How to extend AI to generate deeper analyses you can depend on Prepare for the session by signing up through this link: https://bit.ly/honeydew-swt-2025

By the end, you’ll be equipped to give AI the foundation it needs to explain why - delivering faster, more consistent insights your business can rely on.

A practical Product-oriented guide to leveraging Snowflake's privacy-preserving Collaboration tools, including data protection policies, data clean rooms, synthetic data and more to unlock business value from sensitive data. Modern organizations are looking for ways to collaborate internally and externally on sensitive data of all kinds, while still respecting the sensitivity. Hear how Snowflake Data Collaboration capabilities enable leading organizations to obtain the best of both worlds.

This presentation outlines the transformation from legacy systems to a modern data and AI platform within Toyota Material Handling Europe. It highlights the strategic adoption of Snowflake to unify data architecture, enable real-time analytics, and support external data sharing. The journey includes the foundation and evolution of an internal AI initiative, DataLabs, which matured into a full-scale AI program.

The retail and consumer goods industries are undergoing significant transformation, driven by shifting consumer behaviors, global economic changes, supply chain disruptions and, most importantly, rapid technological innovation. This session is designed for business and technology leaders, offering them insights and strategies needed to navigate and thrive in this evolving landscape. Learn from the transformational experience of the leading global consumer goods company, Snowflake industry expert exploring how data and AI technologies are shaping the industries' future.

DNB, Norway’s largest bank, began building a cloud-based self-service Data & AI Platform in 2017, delivering its first capabilities by 2018. Initially focused on ML and analytics, the platform expanded in 2021 to include traditional data warehouses and modern data products. Snowflake was officially launched in 2023 after a successful PoC and pilot.

In this talk, we’ll walk through our journey.

Where We Came From

•Discover how legacy data warehouse bottlenecks sparked a shift toward decentralised, self-service data capabilities.

Where We Are

•Learn how DNB enabled teams to own and operate their data products through: •Streamlined domain onboarding •“DevOps for data” and “SQL as code” practices •Automated services for historisation (PSA)

Where We’re Going

•Explore how DNB is evolving its data mesh with: •A hybrid model of decentralised and centralised data products •Generative AI, metadata automation, and development support •Enhanced tooling and services for data consumers

Learn how Snowflake is innovating to provide faster warehouses with Standard Warehouse- Gen2, while making compute easier to use with better price/performance through Snowflake Adaptive Compute.

Explore Snowflake’s enterprise AI vision, innovations, and roadmap. You’ll see how Snowflake Intelligence, Cortex AI SQL, Cortex Agents, automatic Semantic Model generation and specialized AI tools work together inside Snowflake’s secure platform, turning multimodal data into transformational impact for enterprise customers without infrastructure headaches. Walk away knowing how these integrated capabilities give business users, data analysts and engineers the tools, speed and governance required to deploy AI into production.

Learn how to leverage Snowflake Intelligence to securely interact with your organization's structured and unstructured data using natural language, focusing on Cortex Knowledge Extensions (CKEs). You will learn to:

•Set up your Snowflake environment, including creating a database, schema, and role. •Integrate Cortex Knowledge Extensions from the Snowflake Marketplace. •Create and configure an AI agent within Snowflake Intelligence to interact with your data. •Add instructions and sample questions to your agent to enable natural language interaction. By the end of this session, you will have a working understanding of how to use Snowflake Intelligence and Cortex Knowledge Extensions to build Enterprise ready Data Agent applications in Snowflake.This is a Hands-On workshop, all attendees must bring their own laptop to participate.

Discover how Scania’s Smart Factory Lab uses Snowflake to scale AI for laser welding quality control. In this session, it is shown how ultrasonic scan data is transformed into AI-driven insights that detect weld flaws faster and more accurately. Learn how Snowpark Container Services and ML pipelines enable seamless model training, deployment, and monitoring to boost fast development and scalability.

More information coming soon