Learn how Trade Republic builds its analytical data stack as a modern, real-time Lakehouse with ACID guarantees. Using Debezium for change data capture, we stream database changes and events into our data lake. We leverage Apache Iceberg to ensure interoperability across our analytics platform, powering operational reporting, data science, and executive dashboards.

FFT, a global leader in innovative manufacturing systems, has developed a solution to the persistent challenge of bridging IT and OT data. In just six months, FFT launched the FFT DataBridge, which resides on shopfloor edge devices and seamlessly integrates production data into the Snowflake AI Data Cloud. This solution unlocks critical shopfloor analytics, AI-based forecasting, and predictive maintenance. By leveraging the power of Snowflake, FFT is helping manufacturing companies transform their operations and is continuing their journey by building a suite of IT/OT-centric applications for the Snowflake Marketplace.

Connecting machines and structuring industrial data has long been one of the toughest challenges in smart manufacturing. Before unlocking the power of AI, large language models, or advanced analytics, companies must first solve the foundational task of harmonizing and organizing their data—without this, bad data only leads to bad AI.

This session covers the journey from building a Unified Namespace as the data foundation to scaling predictive use cases such as maintenance, quality optimization, and process improvements. Using customer stories from discrete and process manufacturing, we will show howDXC &Snowflake enables enterprises to connect IoT data at scale, establish a harmonized taxonomy across global operations, and drive measurable business outcomes.

By unifying diverse industrial IoT and enterprise data into a governed data layer, the Unified Namespace enables creation of an operational digital twin—a live, authoritative representation of manufacturing systems and assets that fuels scalable AI use cases like predictive maintenance, autonomous control, and AI-driven shop floor assistance. Attendees will learn howDXCs &Snowflake’s IoTbest-practicespower OT/IT convergence, continuous digital twin evolution, and AI-driven operational excellence.

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.

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.

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.

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.

Discover how DHL Supply Chain leverages Snowflake to power its self-service data warehouse platform for advanced analytics and AI.

Where data does more—analytics, AI, data engineering, apps, and collaboration. Powered with the AI Data Cloud.