Join LTIMindtree and Scania to explore how the modern data stack—powered by cloud services, and a data product mindset—transforms raw data into governed, reusable, and business-aligned assets. By applying domain-driven design and Data Mesh principles, organizations can decentralize ownership, align data products with business needs, and foster scalable collaboration. This approach accelerates decision-making, strengthens data-driven strategies, and delivers measurable business outcomes

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.

EQT, a global investment organization specializing in private capital, infrastructure, and real assets, has transformed its data operations by fully adopting the modern data stack. As a cloud-native company with hundreds of internal and external data sources — from YouTube to Google Cloud Storage — EQT needed a scalable, centralized solution to ingest and transform data for complex financial use cases. Their journey took them from fragmented, Excel-based workflows to a robust, integrated data pipeline powered by Fivetran.

In this session, you’ll learn how:

•EQT streamlined external data ingestion and broke down data silos •How a unified data pipeline supports scalable financial analytics and decision-making •Fivetran’s ease of use, connector maintenance, and cost-effectiveness made it the clear choice

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

Snowflake Openflow is providing enterprises with open, extensible and secure data integration capabilities that enable real-time, scalable and bi-directional data movement. We will dive into the platform architecture in this technical session.

What will be covered:

•The Challenge: The significant inefficiencies and risks associated with our old, fragmented approach to data application development. •The Solution: The strategic move to a unified framework, which provides a single blueprint for all applications and eliminates the chaos of code duplication. •The Enabler: How a robust CI/CD workflow automates the entire deployment process, ensuring consistency and reliability. •The Outcome: Outline the key advantages of this new approach, emphasizing accelerated development, enhanced code quality, and the remarkable efficiency in scaling our applications.

Join Maria Wiss, Daniel Myers, and Angela Carpenter, as they kickoff Snowflake World Tour Stockholm, share vision for the AI Data Cloud, customer stories and make exciting product announcements.