Collecting and analyzing data is at the heart of every pharmaceutical R&D organization. As a result, we at Merck KGaA store large amounts of very diverse data – from assay results in early research, to operational data from clinical trials, human clinical trial data and data related to regulatory submissions. In the upcoming era of artificial intelligence (AI), making this data available to AI systems at scale is a strategic imperative. For this reason, we have formed a cross R&D workstream to modernize our compute & story ecosystem. In this presentation, we will explain the approach taken, the main challenges faced and how we are addressing them. One important component of our new ecosystem is Snowflake, where we leverage automation and blueprints to enable a consistent technical foundation across the different R&D domains.

In today's fast-paced business world, fast, reliable access to high-quality data is essential. Kuehne+Nagel addresses this by adopting Data Mesh principles, using Snowflake for managed data access. This session introduces the Kuehne+Nagel New IT Ecosystem (KNITE), a suite of platforms that replace legacy systems and implement Data Mesh principles, with Snowflake as a core component. We’ll showcase how Snowflake integrates into KNITE and highlight the features powering our Data Mesh approach.

Siemens has developed two pilots for customer-facing industrial applications on Snowflake that bring the power of OT/IT integration to life: An OEE app enabling Siemens customers to talk to their machine data and gain insights and create customised insights in a self-service manner within seconds. And a logistics insights application enabling customers to optimise the continuous reorganisation of the warehouses close to their production. Both applications use shop floor data collected through Siemens' Industrial Edge solution that can now be integrated seamlessly into the customer's Snowflake data cloud with our native connector

RSG Group – the global fitness powerhouse behind Gold’s Gym, McFIT, and JOHN REED – modernized its fragmented, manual data infrastructure into a scalable, low-maintenance analytics platform using Snowflake, Fivetran, and Coalesce. With a lean team and growing data needs across 900+ studios in 30 countries, the company replaced brittle pipelines and slow onboarding with automated ingestion, governed transformations, and self-service analytics. In this session, Head of Data & Business Intelligence Christopher Rüge will share how RSG Group reduced data integration time from 80 hours to 30 minutes, established end-to-end lineage and GDPR compliance with Coalesce, enabled data-driven decisions, and a strong foundation for AI use cases like personalization, churn prediction, and operational insights.

At this session, Sascha Urban, VP of Data at Blinkist, will reveal how his team went from data chaos to driving measurable business impact. Learn the three mindset shifts that freed up 30% of engineering time and turned a cost center into a true revenue driver.

Bayer is redefining how business questions get answered—fast, smart, and at scale. Together with ThoughtSpot, this session will share how Bayer uses ThoughtSpot on Snowflake to move beyond static dashboards and transition towards agentic analytics. With natural language querying, real-time insights, and AI-powered recommendations, Bayer enables users globally to make informed, data-driven decisions. You’ll hear how Bayer rolled out ThoughtSpot across multiple teams, trained diverse user personas, and optimized for both performance and Snowflake credit consumption.

Join us on our journey as we set out to transform a vast archive of 35,000 reports into structured, actionable data. Guided by the power of Snowflake Data Cloud and Document AI, we trained intelligent models to extract and organize critical information. Our adventure concludes with a seamless interface, where business users can easily access and leverage these insights. Discover how our team’s innovative path turned complexity into clarity, unlocking new value for the organization.

This session provides an update on the new features in the Snowflake Horizon Catalog as well as a live demo of some of its key capabilities. You will learn about the latest advancements in lineage, data quality management, and the ability to catalog third-party data sources in Snowflake.

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

Evgenii, platform engineer at a global pharmaceutical company invites you to explore the journey in building a cloud-native Federated Data Platform powered by dbt Cloud, Snowflake, and Data Mesh principles. Learn how we defined foundational tools and standards, and how we enabled automation and self-service to empower teams across the organization.

Explore how Deloitte and Enercity developed their "Digital Twin Project" on Snowflake, showcasing its impact on operations and data-driven insights

As Germany's largest insurance groups embrace AI transformation, the challenge isn't just implementing large language models—it's building scalable, compliant infrastructure for enterprise-grade AI workflows. This session explores how Inverso, as a specialized Snowflake MSP, is revolutionizing insurance operations by combining Snowflake's data platform with cutting-edge AI to create production-ready solutions for automated claims processing and policy interpretation.

With Snowflake's integration service, Snowflake is providing enterprises with open, extensible and secure data integration capabilities that enable real-time, scalable and bi-directional data movement. Powered by Apache NiFi, this service offers customers the option to use a self-contained data plane in Snowpark Container Services, as well as the ability to run BYOC data planes in the customer’s cloud VPC. We will dive into the platform architecture in this technical session.

In this talk, we present our Proof of Concept (PoC) for Cortex Analyst on Snowflake, enabling interactive queries on complex geospatial data enriched with sociodemographic, market, and infrastructure information. An AI-powered text-to-SQL interface translates natural language queries into SQL in real time, with results shown in tables and visualizations. All of this leverages Snowflake’s built-in security and governance features.

Rethink how you build open, connected, and governed data lakehouses: integrate any Iceberg REST compatible catalog to Snowflake to securely read from and write to any Iceberg table with Catalog Linked Databases. Unlock insights and AI from semi-structured data with support for VARIANT data types. And enjoy enterprise-grade security with Snowflake's managed service for Apache Polaris™, Snowflake Open Catalog.

Explore how Siemens is transforming data sharing with innovative data products, powered by Snowflake for seamless, automated, and cross-platform data sharing. This transformative approach empowers Siemens to enhance collaboration, and unlock the full potential of enterprise data, paving the way to becoming a truly data-driven organization. Join us to explore their journey and key insights.

At Personio, we've transformed hackathons from few days coding events into a systematic innovation engine that has delivered many production applications serving thousand of users. I'll share our journey from 48-hour prototypes to enterprise-grade solutions, all built on Snowflake's modern data platform.

Apache Iceberg provides an open storage standard that can democratize your data stored in disparate data lakes by providing freedom and interoperability to use various data processing engines. Join this session to explore Snowflake’s latest advancements for data engineering on Snowflake Iceberg Tables. We’ll dive into newly launched features that enhance interoperability as well as bring Snowflake’s ease of use to your Iceberg data lakes.

Selecting a suitable and high performing target group for CRM initiatives—such as newsletters and coupons—often involves time-consuming, manual coordination across multiple teams. In this session, we will demonstrate how we leveraged the combined strengths of Snowpark, Streamlit, and dbt to build a self-service application that allows CRM managers to define target groups independently—without relying on analytics resources. 

Our solution delivers real-time feedback based on user input, dramatically reducing turnaround times and simplifying the targeting workflow. We will explore how Snowpark acts as a seamless bridge between Streamlit and Snowflake, enabling efficient, in-database processing. Meanwhile, dbt ensures data consistency and reusability through standardized data products. 

Join us to discover how this integrated approach accelerates decision-making, ensures data governance, and unlocks scalable, self-service capabilities for your CRM teams.

Explore how Snowflake and Microsoft collaborate to transform data and AI workflows. Learn to operate on a single data copy between Microsoft Fabric OneLake and Snowflake via Apache Iceberg, eliminating duplication. Discover Real-Time RAG AI Agents that integrate Snowflake's trusted data and enterprise systems for instant Microsoft Copilot responses, without copying data. Unlock Real-Time Actions using PowerApps with live query and writeback to Snowflake, all with no code. Simplify and innovate with these powerful tools.